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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.
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.
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 ...
HuggingFace Models is a prominent platform in the machine learning community, providing an extensive library of pre-trained models for various natural language processing (NLP) tasks. These models are part of the HuggingFace Transformers library, which supports state-of-the-art models like BERT, GPT, T5, and many others.
An Introduction to Using Transformers and Hugging Face. Understand Transformers and harness their power to solve real-life problems. Aug 2022 · 15 min read. Introduction. The extensive contribution of researchers in NLP, short for Natural Language Processing, during the last decades has been generating innovative results in different domains.
meta-llama/Meta-Llama-3-70B-Instruct. Text Generation • Updated May 29 • 502k • • 1.35k. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Jan 31, 2024 · The Hugging Face Transformer Library is an open-source library that provides a vast array of pre-trained models primarily focused on NLP. It’s built on PyTorch and TensorFlow, making it incredibly versatile and powerful. One of the first reasons the Hugging Face library stands out is its remarkable user-friendliness.
NLP-focused startup Hugging Face recently released a major update to their popular “PyTorch Transformers” library, which establishes compatibility between PyTorch and TensorFlow 2.0, enabling users to easily move from one framework to another during the life of a model for training and evaluation purposes.
Apr 26, 2022 · First transformer architecture. The original models used in natural language were recurrent: they maintained some state which got fed into the next part of the model, along with new input, at each step. You can read about these RNNs and LSTMs in many places, particularly in Chapter 12 of the fastai book.
🤗 Transformers State-of-the-art Machine Learning for PyTorch, TensorFlow and JAX. 🤗 Transformers provides APIs to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you time from training a model from scratch.
