Huggingface is an open-source community that develops and maintains state-of-the-art large language models (LLMs) and NLP tools. Their goal is to make LLMs more accessible and easier to use for everyone.
Huggingface’s major features include:
- Model Hub: The Model Hub is a repository of pre-trained LLMs that can be used for a variety of tasks, such as question answering, summarization, and translation.
- Tokenizers: Huggingface provides tokenizers for a variety of languages, which can be used to prepare text for input to LLMs.
- Inference: Huggingface provides an API for running inference on LLMs, making it easy to use them in your own applications.
- Training: Huggingface provides tools for training your own LLMs, making it possible to create models that are tailored to your specific needs.
If you are interested in using LLMs for natural language processing tasks, Huggingface is a great resource. The community is active and supportive, and the tools are easy to use.