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:
- 1ced89f7a60c80659ea62d27df58466e78ca92141f4917ccaa1240671c6979c3
- Size of remote file:
- 25.4 MB
- SHA256:
- e21042128c9f80ac8380b4dbc4183d48fa3375b8a8b4d0f0f7d1d7c262c55d49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.