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🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow. 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: 📝 Text, for tasks like text classification, information extraction, question answering, summarization ...
🤗 transformers is a library maintained by Hugging Face and the community, for state-of-the-art Machine Learning for Pytorch, TensorFlow and JAX. It provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
Install 🤗 Transformers for whichever deep learning library you’re working with, setup your cache, and optionally configure 🤗 Transformers to run offline. 🤗 Transformers is tested on Python 3.6+, PyTorch 1.1.0+, TensorFlow 2.0+, and Flax.
Nov 20, 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained models.
The Hugging Face Course. This repo contains the content that's used to create the Hugging Face course. The course teaches you about applying Transformers to various tasks in natural language processing and beyond.
What is Hugging Face Transformers? Hugging Face Transformers is an open-source Python library that provides access to thousands of pre-trained Transformers models for natural language processing (NLP), computer vision, audio tasks, and more.
This web app, built by the Hugging Face team, is the official demo of the 🤗/transformers repository's text generation capabilities. Star 127,968. Models. 🦄 GPT-2. The almighty king of text generation, GPT-2 comes in four available sizes, only three of which have been publicly made available.
Hugging Face transformers is a platform that provides the community with APIs to access and use state-of-the-art pre-trained models available from the Hugging Face hub. What is a pre-trained transformer?
Installation. To install via NPM, run: npm i @xenova/transformers. For more information, including how to use it in vanilla JS (without any bundler) via a CDN or static hosting, refer to the README. Additional resources. Transformers.js repository. Transformers.js docs. Transformers.js demo. < > Update on GitHub. ← Transformers Unity Sentis →.
