Hugging Face
The central hub for machine learning models, datasets, and applications. Hugging Face provides model hosting, the Transformers library, dataset management, Spaces for demos, and inference APIs. It's the de facto repository for open-source ML models including LLMs.
Implements
Concepts this tool claims to implement:
- Foundation Model primary
Model Hub hosts thousands of foundation models. Llama, Mistral, Falcon, and other open LLMs available. Model cards with documentation and benchmarks.
- Fine-Tuning primary
Transformers library with Trainer class. PEFT library for parameter-efficient fine-tuning (LoRA, QLoRA). AutoTrain for no-code fine-tuning.
- Inference Endpoint primary
Inference Endpoints for deploying models. Serverless Inference API for quick testing. Text Generation Inference (TGI) for optimized LLM serving.
- Training Data secondary
Datasets library and Hub. Thousands of datasets for training and evaluation. Dataset viewers and processing tools.
Integration Surfaces
Details
- Vendor
- Hugging Face Inc.
- License
- Apache-2.0 (libraries) / Various (models)
- Runs On
- cloud, local
- Used By
- human, agent, system
Links
Notes
Hugging Face is the GitHub of ML models. Essential for anyone working with open-source LLMs. The Transformers library is the standard for loading and using models. Spaces and Inference Endpoints make deployment accessible. Enterprise Hub adds private hosting and compliance features.