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HuggingFace

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HuggingFace is a platform where researchers share models. Its transformer library has 289 models for PyTorch and 95 for TensorFlow, giving PyTorch an advantage for fine-tuning chatbots.

Inside HuggingFace (6)

• AutoTrain — A service for automatically training and fine-tuning models with a simple interface.
• HuggingFace Datasets Library — A library for easily accessing and processing datasets for machine learning, part of the HuggingFace ecosystem.
• Inference API — A hosted API service that allows users to run models without managing infrastructure.
• Model Hub — A central repository where users can discover, share, and download pretrained models.
• Spaces — A platform for hosting and sharing ML demo apps, often built with Gradio or Streamlit.
• Transformers Library — The core open-source library providing thousands of pretrained models for NLP, vision, and audio tasks.

Connections

• Related to Model Hub
• Used for Fine-tuning
• Related to Tokenizers
• Alternative to PyTorch

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