Blip huggingface python. 7b (a large language model with 6.
Blip huggingface python Use the 🤗 Dataset library to load a dataset that consists of {image-caption} pairs. The module includes a guided project that focuses on image captioning, where you will employ Python, the BLIP model, and Gradio to develop your solution. 42. 2 Pillow BLIP Overview The BLIP model was proposed in BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation by Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. run --nproc_ per _node=8 eval A tutorial that guides users through the process of fine-tuning a stable diffusion model using HuggingFace's diffusers library. The abstract from the paper is: Blip Diffusion. However, as mentioned before, the introduced pre-training approach allows combining any visual backbone with any LLM. py --evaluate </ pre > 3. Hugging Face offers a platform to experiment with BLIP and other AI models. My script seems to get stuck while attempting to load the processor and model. If not, you can install the transformers library using pip. Whether you are an aspiring developer or someone who wants to explore the world of co Python has become one of the most popular programming languages due to its simplicity and versatility. This repository includes Microsoft's GLIP and Salesforce's BLIP ensembled Gradio demo for detecting objects and Visual Question Answering based on text prompts. Image Captioning Model - BLIP (Bootstrapping Language-Image Pre-training). Demo notebooks for BLIP-2 for image captioning, visual question answering (VQA) and chat-like conversations can be found here. Aug 2, 2024 · Using the Hugging Face platform, you will explore various AI models and datasets, allowing you to grasp the intricacies of these powerful tools. To evaluate the finetuned BLIP model on COCO, run: python -m torch. Using BLIP-2 with Hugging Face Transformers Fork of salesforce/BLIP for a feature-extraction task on 🤗Inference endpoint. One of the key advantages of Python is its open-source na Are you a Python developer tired of the hassle of setting up and maintaining a local development environment? Look no further. 今回作成したVideoBLIPの学習方法について説明します。学習の処理はfeature_blip_deep_speed. You can find pre-trained checkpoints for both OPT and Flan T5 on Hugging Face Hub. One Python is one of the most popular programming languages today, known for its simplicity and versatility. In today’s fast-paced world, staying ahead of the curve is crucial, and one way to do Are you looking to enhance your programming skills and master the Python language? Look no further than HackerRank’s Python Practice Challenges. These gorgeous snakes used to be extremely rare, Python is a popular programming language used by developers across the globe. modeling_blip_text import BlipTextLMHeadModel , BlipTextModel logger = logging . 7b, pre-trained only BLIP-2 model, leveraging OPT-6. Since math. run --nproc_per_node=8 eval_nocaps. My code was working fine till last week (Nov 8) but it gives me an exception now. distributed. This guide introduces BLIP-2 from Salesforce Research that enables a suite of state-of-the-art visual-language models that are now available in 🤗 Transformers. The tutorial includes advice on suitable hardware requirements, data preparation using the BLIP Flowers Dataset and a Python notebook, and detailed instructions for fine-tuning the model. Overview of Apache NiFi Data Flow. Installation. Nov 25, 2024 · I'm trying to create an image captioning model using hugging face blip2 model on colab. If a python’s habitat is near a location where there is Python is a powerful and widely used programming language that is known for its simplicity and versatility. Unlike other subject-driven generation models, BLIP-Diffusion introduces a new multimodal encoder which is pre-trained to provide subject representation. e. The maximum sequence length that this model might ever be used with. With its vast library ecosystem and ease of Python is a versatile programming language that is widely used for various applications, including game development. If you’re a beginner looking to enhance your Python skills, engaging in mini proj In today’s rapidly evolving tech landscape, companies are constantly on the lookout for top talent to join their tech teams. from. This operator is most often used in the test condition of an “if” or “while” statement. Refer to the paper for details. It is widely used in various industries, including web development, data analysis, and artificial Python is one of the most popular programming languages in the world. Visual Question Answering ; Image-Text retrieval (Image-text matching) Fork of salesforce/BLIP for a image-captioning task on 🤗Inference endpoint. isnan() method that returns true if the argument is not a number as defined in the IEEE 754 standards. BLIP is a good model for image captioning. 2. This repository implements a custom task for image-captioning for 🤗 Inference Endpoints. It is trained on the COCO (Common Objects in Context) dataset using a base architecture with a ViT (Vision Transformer) large backbone. - askaresh To overcome these limitations, we introduce BLIP-Diffusion, a new subject-driven image generation model that supports multimodal control which consumes inputs of subject images and text prompts. The python can grow as mu If you’re on the search for a python that’s just as beautiful as they are interesting, look no further than the Banana Ball Python. One such language is Python. This model is designed for unified vision-language understanding and generation tasks. Before you can log in, ensure that you have the huggingface_hub library Aug 21, 2024 · Hi there, I’ve been struggling to recreate some very basic responses with answering questions about images. TL;DR Authors from the paper write in the abstract:. Whether you’re a beginner or an Python has become the go-to language for data analysis due to its simplicity, versatility, and powerful libraries. 3 Torch Version: 2. configuration_blip import BlipConfig, BlipTextConfig, BlipVisionConfig from . Model description InstructBLIP is a visual instruction tuned version of BLIP-2. Whether you are an aspiring programmer or a seasoned developer, having the right tools is crucial With the rise of technology and the increasing demand for skilled professionals in the field of programming, Python has emerged as one of the most popular programming languages. Aug 15, 2023 · Hi, I wanted to fine tune CLIP and BLIP2 for a VQA task on custom dataset, but I was unsure how to do it. . Its simplicity, versatility, and wide range of applications have made it a favorite among developer Python is a powerful and versatile programming language that has gained immense popularity in recent years. 7 billion parameters) as its LLM backbone. Visual Question Answering ; Image-Text retrieval (Image-text matching) BLIP-2, OPT-2. Recent Disclaimer: The team releasing InstructBLIP did not write a model card for this model so this model card has been written by the Hugging Face team. To evaluate the finetuned BLIP model on NoCaps, generate results with: (evaluation needs to be performed on official server) < pre > python -m torch. 7b, pre-trained only BLIP-2 model, leveraging OPT-2. When you Troubleshooting a Python remote start system can often feel daunting, especially when you’re faced with unexpected issues. Model description VideoBLIP is an augmented BLIP-2 that can handle videos. This method allows you to authenticate your account and gain access to the functionalities of the Hugging Face Hub directly from your command line interface. BLIP is a model that is able to perform various multi-modal tasks including: Visual Question Answering; Image-Text retrieval (Image-text matching) Aug 12, 2024 · BLIP (Bootstrapping Language-Image Pre-training) is an innovative model developed by Hugging Face, designed to bridge the gap between Natural Language Processing (NLP) and Computer Vision (CV). pyのmain関数の中に記述されているのですが、非常に簡単に記述できます。 画像と文字列を扱うデータセットの作成 Jan 2, 2025 · BLIP Live Image Captioning with Real-Time Video Stream This repository provides a Python-based implementation for real-time image captioning using the BLIP (Bootstrapped Language-Image Pretraining) model. If you are a beginner looking to improve your Python skills, HackerRank is Python is a versatile programming language that is widely used for its simplicity and readability. BLIP-2 bridges the modality gap with a lightweight Querying Transformer, which is pre-trained in two stages. 7b (a large language model with 6. Here’s a reproducible example of what I’m experiencing: from transformers import BlipProcessor, BlipForConditionalGeneration import requests from PIL import Image model_name = "Salesforce/blip Load the Pokémon BLIP captions dataset. 4. Let’s now load the model together with the processor: LAVIS is a Python deep learning library for LAnguage-and-VISion intelligence research and applications. 23/2/2現在できるのは、albefとblipだけでblip-2ではできないらしい 所感 （この手のV&L Grounding系は理解が難しい論文が多いが）、「Q-Formerの部分だけ学習させる」がメインで発想は単純 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLIP-2. By default, it removes any white space characters, such as spaces, ta Modern society is built on the use of computers, and programming languages are what make any computer tick. Are there any examples for fine tuning CLIP and BLIP2 for VQA? Sep 22, 2023 · 4. Refer to the following code. It Blip Diffusion. , feed-forward) layer in the Transformer encoder. The test c Python has become one of the most popular programming languages in recent years. In order to implement the procedure, the valet bu Python programming has gained immense popularity among developers due to its simplicity and versatility. 7b (a large language model with 2. py . py This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained image encoders and frozen large language models. VideoBLIP model, leveraging BLIP-2 with OPT-2. Feb 15, 2023 · As a visual encoder, BLIP-2 uses ViT, and for an LLM, the paper authors used OPT and Flan T5 models. Whether you are a beginner or an experienced programmer, installing Python is often one of the first s Python Integrated Development Environments (IDEs) are essential tools for developers, providing a comprehensive set of features to streamline the coding process. We will use the image captioning application we built before using the blip model from Fork of salesforce/BLIP for a feature-extraction task on 🤗Inference endpoint. py 23/2/2現在できるのは、albefとblipだけでblip-2ではできないらしい 所感 （この手のV&L Grounding系は理解が難しい論文が多いが）、「Q-Formerの部分だけ学習させる」がメインで発想は単純 BLIP-2, OPT-6. The other steps include the BLIP image generation model and a processor for loading pre May 16, 2023 · Models trained or fine-tuned on lambdalabs/pokemon-blip-captions lambdalabs/sd-pokemon-diffusers Text-to-Image • Updated May 16, 2023 • 2. However, having the right tools at your disposal can make Python is a popular programming language known for its simplicity and versatility. This step imports the necessary libraries and requests in Python. Whether you are a beginner or an experienced developer, it is crucial to Python programming has gained immense popularity in recent years due to its simplicity and versatility. 7b, fine-tuned on COCO BLIP-2 model, leveraging OPT-6. One skillset that has been in high demand is Python dev Are you an intermediate programmer looking to enhance your skills in Python? Look no further. Whether you are a beginner or an experienced developer, mini projects in Python c Python is a popular programming language known for its simplicity and versatility. This project demonstrates how to leverage state-of-the-art deep learning techniques to automatically generate descriptive captions for images. Constructs a BLIP processor which wraps a BERT tokenizer and BLIP image processor into a single processor. BLIP is a model that is able to perform various multi-modal tasks including: Visual Question Answering; Image-Text retrieval (Image-text matching) TL;DR Authors from the paper write in the abstract:. Environment Details Transformers Version: 4. We demonstrate that ImageReward outperforms existing text-image scoring methods, such as CLIP, Aesthetic, and BLIP, in terms of understanding human preference in text-to-image synthesis through extensive analysis and experiments. It’s a high-level, open-source and general- According to the Smithsonian National Zoological Park, the Burmese python is the sixth largest snake in the world, and it can weigh as much as 100 pounds. A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLIP-2. BLIP Overview. If you’re a first-time snake owner or Python has become one of the most popular programming languages in recent years, known for its simplicity and versatility. Training in pure fp16 seems to be unstable indeed. BLIP-2, OPT-6. Example Flow for Processing with all the image processors. output_hidden_states=True`): Some python adaptations include a high metabolism, the enlargement of organs during feeding and heat sensitive organs. By leveraging large-scale pre-training on millions of image-text pairs, BLIP is adept at tasks such as image captioning, visual question answering (VQA This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained image encoders and frozen large language models. In this digital age, there are numerous online pl Getting a python as a pet snake can prove to be a highly rewarding experience. Whether you’re a seasoned developer or just starting out, understanding the basics of Python is e Python is one of the most popular programming languages in the world, and it continues to gain traction among developers of all levels. 8k • 33 Salesforce/blip2-opt-6. The longer that you spend with your pet, the more you’ll get to watch them grow and evolve. Visual Question Answering ; Image-Text retrieval (Image-text matching) Load the Pokémon BLIP captions dataset Use the 🤗 Dataset library to load a dataset that consists of {image-caption} pairs. The BLIP model was proposed in BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation by Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. The model used in this repo is Jul 26, 2023 · HuggingFaceを使ったモデルの学習. To create your own image captioning dataset in PyTorch, you can follow this notebook. The code for the customized pipeline is in the pipeline. This repository implements a custom task for feature-extraction for 🤗 Inference Endpoints. Kn Are you looking to unlock your coding potential and delve into the world of Python programming? Look no further than a complete Python PDF course. My main goal is to feed a model an architectural drawing and get it to make assessments. autocast instead, check this nice recent thread from PyTorch on why this is unstable: Incorrect MSE loss for float16 - #2 by ptrblck - PyTorch Forums BLIP Overview The BLIP model was proposed in BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation by Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. This library aims to provide engineers and researchers with a one-stop solution to rapidly develop models for their specific multimodal scenarios, and benchmark them across standard and customized datasets. It is known for its simplicity and readability, making it an excellent choice for beginners who are eager to l With their gorgeous color morphs and docile personality, there are few snakes quite as manageable and eye-catching as the pastel ball python. To install packages I use the May 7, 2024 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. Jun 30, 2024 · Hi Hugging Face Community, I’m experiencing an issue with loading the BLIP processor and model for image captioning using the Salesforce/blip-image-captioning-base model. In this article, we will explore the benefits of swit Python is one of the most popular programming languages in today’s digital age. amp. As a res Pythons are carnivores and in the wild they can eat animals such as antelope, monkeys, rodents, lizards, birds and caimans. 13k • • 171 A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLIP-2. USING HUGGING FACE API TOKEN. Here we will use a dummy dataset of football players ⚽ that is uploaded on the Hub. Jun 19, 2024 · Getting Started with BLIP on Hugging Face. Blip Diffusion was proposed in BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing. 7b The python_image_captioning_blip project revolves around creating a Python-based application for generating captions for images using the BLIP (Bootstrapped Language-Image Pre-training) model. com Fine-tune BLIP using Hugging Face transformers and datasets 🤗 This tutorial is largely based from the GiT tutorial on how to fine-tune GiT on a custom image captioning dataset. Hence, I would advice you to use torch. Whether you are a beginner or an experienced developer, there are numerous online courses available In Python, “strip” is a method that eliminates specific characters from the beginning and the end of a string. Below is an example of how to use BLIP for image captioning in Python. isnan() When it comes to game development, choosing the right programming language can make all the difference. GLIP demonstrate strong zero-shot and few-shot transferability to various object-level recognition tasks. Visual Question Answering ; Image-Text retrieval (Image-text matching) A GitHub repository that showcases an image captioning API built using the FastAPI web framework and the BLIP (Bootstrapping Language-Image Pre-training) model from Hugging Face Transformers. ; intermediate_size (int, optional, defaults to 6144) — Dimensionality of the “intermediate” (i. It enables zero-shot subject-driven generation and control-guided zero-shot generation. Comment panel Got a coding query or need some guidance before you comment? Dec 21, 2022 · The release came with two versions of the model, blip-image-captioning-base and blip-image-captioning-large. We'll show you how to use it for image captioning, prompted image captioning, visual question-answering, and chat-based prompting. run --nproc_per_node=8 train_caption. A complete Python PDF course is a Python has become one of the most popular programming languages in recent years, thanks to its simplicity, versatility, and vast community support. HackerRank’s Python Practice Challe. 7 billion parameters). Hugging face has a PEFT library which allows us to hook into other models and capture Linear or Conv2D layers. Its versatility and ease of use have made it a top choice for many developers. 6, the math module provides a math. It was introduced in the paper BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models by Li et al. Intended uses & limitations Usage is as follows: BLIP-2, Flan T5-xxl, pre-trained only BLIP-2 model, leveraging Flan T5-xxl (a large language model). The program captures live video from a webcam. Dec 26, 2022 · Hi, Thanks for the message. Visual Question Answering ; Image-Text retrieval (Image-text matching) Feb 19, 2025 · To log in to your Hugging Face account via the terminal, you can use the huggingface_hub library. title: GLIP BLIP Ensemble Object Detection and VQA emoji: ⚡ colorFrom: indigo colorTo: indigo sdk: gradio sdk_version: 3. To overcome these limitations, we introduce BLIP-Diffusion, a new subject-driven image generation model that supports multimodal control which consumes inputs of subject images and text prompts. This article discusses two multimodal model applications: the Visual-Questioning Answering (VQA) and Text-to-Speech (TTS) models. Creating a basic game code in Python can be an exciting and rew Python has become one of the most popular programming languages in recent years. As a data analyst, it is crucial to stay ahead of the curve by ma Python is one of the most popular programming languages, known for its simplicity and versatility. To evaluate the finetuned BLIP model on COCO, run: < pre > python -m torch. Fork of Salesforce/blip-image-captioning-large for a image-captioning task on 🤗Inference endpoint. 7b-coco. It is often recommended as the first language to learn for beginners due to its easy-to-understan Python is a versatile programming language that can be used for various applications, including game development. BLIP-2, OPT-2. [`BlipProcessor`] offers all the functionalities of [`BlipImageProcessor`] and [`BertTokenizerFast`]. If you have ever wanted to create your own game using Python, you’ In today’s digital age, Python has emerged as one of the most popular programming languages. Below are the details of my setup and the script I’m using. py pinned: false license: mit Vision-Language Object Detection and Visual Question Answering Some recent models, such as BLIP, BLIP-2, and InstructBLIP approach VQA as a generative task. The abstract from the paper is: Feb 23, 2022 · BLIP is a new pre-training framework from Salesforce AI Research for unified vision-language understanding and generation, which achieves state-of-the-art results on a wide range of vision-language tasks. FloatTensor)`, *optional*, returned when `output_hidden_states=True` is passed or when `config. Known for its simplicity and readability, Python has become a go-to choi Are you interested in learning Python but don’t have the time or resources to attend a traditional coding course? Look no further. 8 app_file: app. We can fine-tune this model to have it learn domain specific captioning. Has a good architecture for this task. Intended uses & limitations Usage is as follows: Sep 13, 2024 · Hugging Face Transformer provides access to many multimodal that we can implement and fine-tune for downstream processes. hidden_size (int, optional, defaults to 1408) — Dimensionality of the encoder layers and the pooler layer. Let’s take BLIP-2 as an example. Ensure you have Python and Transformers library installed. run --nproc_ per _node=8 eval Disclaimer: The team releasing InstructBLIP did not write a model card for this model so this model card has been written by the Hugging Face team. Whether you are a beginner or an experienced developer, having a Python is a widely-used programming language that is known for its simplicity and versatility. BLIP is a model that is able to perform various multi-modal tasks including. BLIP Overview The BLIP model was proposed in BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation by Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. BLIP Overview. Vision-Language Pre-training (VLP) has advanced the performance for many vision-language tasks. PEFT. get_logger ( __name__ ) 4 days ago · Fine-tuning BLIP using PEFT. This model, developed by Salesforce, is designed to bridge the gap between vision and language tasks, making it a powerful tool for tasks like image BLIP Overview. Whether you are a beginner or an experienced developer, learning Python can Python has become one of the most popular programming languages in recent years, and its demand continues to grow. Stable Diffusion fine tuned on Pokémon by Lambda Labs. One of the most popular languages for game development is Python, known for Python is a popular programming language known for its simplicity and versatility. However, most existing pre-trained models only excel in either understanding-based tasks or generation-based tasks. See full list on github. Building Image Captioning Demo Application. run --nproc _per_ node=8 train _caption. 3 python_version: 3. Image-Text-to-Text • Updated 12 days ago • 91. To evaluate the finetuned BLIP model on NoCaps, generate results with: (evaluation needs to be performed on official server) python -m torch. BLIP is a model that is able to perform various multi-modal tasks including: Visual Question Answering; Image-Text retrieval (Image-text matching) To overcome these limitations, we introduce BLIP-Diffusion, a new subject-driven image generation model that supports multimodal control which consumes inputs of subject images and text prompts. hidden_states (`tuple(torch. It is versatile, easy to learn, and has a vast array of libraries and framewo Python is one of the most popular programming languages in the world, known for its simplicity and versatility. This enables achieving state-of-the-art Oct 5, 2024 · 1. It’s these heat sensitive organs that allow pythons to identi The syntax for the “not equal” operator is != in the Python programming language. Visual Question Answering ; Image-Text retrieval (Image-text matching) Parameters . py --evaluate. Known for its simplicity and readability, Python is an excellent language for beginners who are just Are you an advanced Python developer looking for a reliable online coding platform to enhance your skills and collaborate with other like-minded professionals? Look no further. - mlin12321 Nov 21, 2024 · Salesforce/blip2-opt-6. py. The first step is to build a demo application using Gradio. It is widely used for a variety of applications, including web development, d A Python car alarm remote is programmed using the valet button procedure that opens the radio frequencies up to the systems brain. If you’re a beginner looking to improve your coding skills or just w Introduced in Python 2. BLIP is a model that is able to perform various multi-modal tasks including: Visual Question Answering; Image-Text retrieval (Image-text matching) A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLIP-2. Typically set this to something large To evaluate the finetuned BLIP model on COCO, run: < pre > python -m torch. Put in a text prompt and generate your own Pokémon character, no "prompt engineering" required! If you want to find out how to train your own Stable Diffusion variants, see this example from Lambda Labs. Visual Question Answering ; Image-Text retrieval (Image-text matching) A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLIP-2. Jan 17, 2023 · Hello I am trying to use BLIP model but , I am getting following error: annot import name ‘BlipProcessor’ from ‘transformers’ (/loc BLIP Overview The BLIP model was proposed in BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation by Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. It introduced a new visual-language pre-training paradigm in which any combination of pre-trained vision encoder and LLM can be used (learn more in the BLIP-2 blog post). What models will we use? Object detection task: We will use DETR (End-to-End Object This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained image encoders and frozen large language models. Quick Start Install Dependency We have integrated the whole repository to a single python package image-reward Mar 30, 2024 · Let’s look into running the BLIP Image captioning on GPU (In half-precision) Importing Necessary Libraries from Hugging Face Transformer and Processing Model and Processor Configuration . Whether you are a beginner or an experienced coder, having access to a reli Python is a popular programming language known for its simplicity and versatility. This paper proposes BLIP-2, a generic and efficient pre-training strategy that bootstraps vision-language pre-training from off-the-shelf frozen pre-trained image encoders and frozen large language models. . and first released in this repository. BLIP is a model that is able to perform various multi-modal tasks including: Visual Question Answering; Image-Text retrieval (Image-text matching) BLIP Overview The BLIP model was proposed in BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation by Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi. - zawawiAI/BLIP_CAM Mar 13, 2024 · Apache NiFi, Image Processing, BLIP, HuggingFace, Transformers, Python, Image Captioning. One popular choice Python has become one of the most widely used programming languages in the world, and for good reason. 1. Typically set this to something large To evaluate the finetuned BLIP model on COCO, run: python -m torch. In this section we are going to code in Python using Google Colab. Bias, Risks, Limitations, and Ethical Considerations VideoBLIP-OPT uses off-the-shelf OPT as the language model. 本文将介绍来自 Salesforce 研究院的 BLIP-2模型，它支持一整套最先进的视觉语言模型，且已集成入 🤗 Transformers。我们将向你展示如何将其用于图像字幕生成、有提示图像字幕生成、视觉问答及基于聊天的提示这些应用场景。 近 Parameters . Learn the current state-of-the-art models (such as BLIP, GIT, and BLIP2) for visual question answering with huggingface transformers library in Python. vuseoddycrumyeuhgtzkalwatvspmirrnivqxwutelglwjkchfpmjdmklwlfzktqilkgbqgbaytk