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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
- Datasets
Datasets - Hugging Face – The AI community building the...
- Documentation
Access and share datasets for computer vision, audio, and...
- Models
instruction-pretrain/instruction-synthesizer. Text...
- Spaces
Track, rank and evaluate open LLMs and chatbots....
- Datasets
instruction-pretrain/instruction-synthesizer. Text Generation • Updated about 22 hours ago • 292 • 38. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face – The AI community building the future. Create a new model. From the website. Hub documentation. Take a first look at the Hub features. Programmatic access. Use the Hub’s Python client library. Getting started with our git and git-lfs interface. You can create a repository from the CLI (skip if you created a repo from the website)
State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. 🤗 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.
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.
Track, rank and evaluate open LLMs and chatbots. open-llm-leaderboard about 18 hours ago. Running on Zero. 805. 🎨.
Access and share datasets for computer vision, audio, and NLP tasks. Build machine learning demos and other web apps, in just a few lines of Python. Client library for the HF Hub: manage repositories from your Python runtime. A collection of JS libraries to interact with Hugging Face, with TS types included.
