Instructions to use huggingkot/Nano_Imp_1B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Nano_Imp_1B-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 025d5df80886a242a2bcc6e4cf383885477d0edf9c3917a2d94b7e18b38423b4
- Size of remote file:
- 25.4 MB
- SHA256:
- 6f0f47d6b4652dad4367fb1780fa4fd536fce8e5153b35e7e5926b4d261223cc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.