Hugging face - Hugging face can be defined as AI platform where Machine learning communites collaorates on Models, Datasets, Spaces. Hugging face provide solutions like Enterprise Hub, Expert Support, Inference endpoints and Hardware.
What is Hugging face
Hugging face is an open source platform that provides tools, libraries for building, training and deploying machine learning models, datasets.
How can you access Hugging face?
Hugging face website - https://huggingface.co/ Then Login / Sign Up.
Hugging face Core areas
- Models
- Datasets
- Spaces
- Posts
- Documentations/ Docs
- Enterprise
- Pricing
- Community
- Solutions
- Enterprise Hub
- Expert Support
- Inference Endpoints
- Hardware
Hugging face area in short
1 - Models
Hugging face models section contains models from different companies and communities. Results can be filtered based on Tasks, Libraries, Datasets, Languages, Licenses and Other. Hugging face hosts many open source models, large language models, text to audio models, text to image models, multimodels, audio models etc.
- Models can have links to spaces
- Some models may have direct links to run inference or model hosting in space. we will discuss what is space below.
- Please note anyone can post model therefore you may also see some models just blank, less or no information.
There is flexibilty sort the result data. More info can be found on the Please check Hugging face models link.
2 - Datasets
Hugging face hosts dataserts for training and evlualtion.
3 - Spaces
Hugging face vs GitHub
Hugging face CLI can handle large files.it is defined to handle LLM (Large Language Model) files.
What is hugging face used for?