1. GIT - Hugging Face
GIT is a decoder-only Transformer that leverages CLIP's vision encoder to condition the model on vision inputs besides text. The model obtains state-of-the-art ...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
2. Installation - Hugging Face
git clone https://github.com/huggingface/transformers.git cd transformers pip install -e . These commands will link the folder you cloned the repository to ...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
3. GIT: A Generative Image-to-text Transformer for Vision and Language
May 27, 2022 · Abstract:In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video ...
In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. While generative models provide a consistent network architecture between pre-training and fine-tuning, existing work typically contains complex structures (uni/multi-modal encoder/decoder) and depends on external modules such as object detectors/taggers and optical character recognition (OCR). In GIT, we simplify the architecture as one image encoder and one text decoder under a single language modeling task. We also scale up the pre-training data and the model size to boost the model performance. Without bells and whistles, our GIT establishes new state of the arts on 12 challenging benchmarks with a large margin. For instance, our model surpasses the human performance for the first time on TextCaps (138.2 vs. 125.5 in CIDEr). Furthermore, we present a new scheme of generation-based image classification and scene text recognition, achieving decent performance on standard benchmarks. Codes are released at \url{https://github.com/microsoft/GenerativeImage2Text}.
4. [2403.09394] GiT: Towards Generalist Vision Transformer through ... - arXiv
Mar 14, 2024 · Abstract:This paper proposes a simple, yet effective framework, called GiT, simultaneously applicable for various vision tasks only with a ...
This paper proposes a simple, yet effective framework, called GiT, simultaneously applicable for various vision tasks only with a vanilla ViT. Motivated by the universality of the Multi-layer Transformer architecture (e.g, GPT) widely used in large language models (LLMs), we seek to broaden its scope to serve as a powerful vision foundation model (VFM). However, unlike language modeling, visual tasks typically require specific modules, such as bounding box heads for detection and pixel decoders for segmentation, greatly hindering the application of powerful multi-layer transformers in the vision domain. To solve this, we design a universal language interface that empowers the successful auto-regressive decoding to adeptly unify various visual tasks, from image-level understanding (e.g., captioning), over sparse perception (e.g., detection), to dense prediction (e.g., segmentation). Based on the above designs, the entire model is composed solely of a ViT, without any specific additions, offering a remarkable architectural simplification. GiT is a multi-task visual model, jointly trained across five representative benchmarks without task-specific fine-tuning. Interestingly, our GiT builds a new benchmark in generalist performance, and fosters mutual enhancement across tasks, leading to significant improvements compared to isolated training. This reflects a similar impact observed in LLMs. Further enriching training with 27 datasets, GiT achieves strong zero-shot results over va...
5. Transformers.js
State-of-the-art Machine Learning for the web. Run Transformers directly in your browser, with no need for a server!
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
6. SentenceTransformers Documentation — Sentence ...
Sentence Transformers (a.k.a. SBERT) is the go-to Python module for accessing, using, and training state-of-the-art text and image embedding models. It ...
Sentence Transformers
7. Hugging Face Transformers Examples - Philschmid
Jan 26, 2023 · ... transformers version we have installed in step 1 (for us, 4.25.1 ). git clone https://github.com/huggingface/transformers cd transformers git ...
Learn how to leverage Hugging Face Transformers to easily fine-tune your models.
8. Installation — Transformer Engine 1.6.0 documentation - NVIDIA Docs
Execute the following command to install the latest stable version of Transformer Engine: pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable.
Linux x86_64
9. Masked Generative Image Transformer: MaskGIT
Google Research. Class-conditional Image Editing by MaskGIT. Abstract. Image generative transformers typically treat an image as a ...
!-Licensed under the Apache License, Version 2.0->
10. [PDF] Gas Insulated Transformer(GIT) - Mitsubishi Electric
Gas Insulated Transformer(GIT). IEC-60076 part 15 gas-filled power transformers enacted in 2008. Non-flammable and non-explosive. Non-Flammable and Non ...
11. PyTorch-Transformers
PyTorch-Transformers. By HuggingFace Team. PyTorch implementations of popular NLP Transformers. View on Github · Open on Google Colab · Open Model Demo. Model ...
Model Description
12. I'm worried about the version hell of relying on HuggingFace's ...
[2]https://github.com/huggingface/transformers/blob/v4.28.1/src... [3]https ... I run git transformers/diffusers and PyTorch 2.1 in all sorts of old repos ...
I'm worried about the version hell of relying on HuggingFace's transformers.
13. How to Incorporate Tabular Data with HuggingFace Transformers - Medium
Oct 23, 2020 · [Colab] [Github]. By Ken Gu. Transformer-based models are a game-changer when it comes to using unstructured text data. As of September 2020 ...
[Colab] [Github]
14. 2024 Hugging face. Hugging Face The AI community building the ...
22 hours ago · ... GitHub - microsoft/huggingface-transformers: Transformers ... ... git and git-lfs interface. Hugging Face has an overall rating of 4.5 out of 5 ...
404
15. Install spaCy · spaCy Usage Documentation
... transformers] (with multiple comma-separated extras). See the [options ... git clone https://github.com/explosion/spaCy cd spaCy make. You can configure ...
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
16. #1 - Getting Started - No BS Intro To Developing with LLMs | GDCorner
7 days ago · Transformers - These are the core of LLMs. It's a deep learning ... git git-lfs build-essential. One complication is that llama.cpp doesn ...
A No BS guide to getting started developing with LLMs. We’ll cover the jargon, terms, and get a model running locally. We’ll also cover the different model formats, and how to convert and quantize a model.
