Instructions to use huggingkot/DeepScaleR-1.5B-Preview-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/DeepScaleR-1.5B-Preview-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:
- 8ecf9d4addda6fc9a64e34d1c417054a50ca878fe753f9af365959e13dbc5ecf
- Size of remote file:
- 27.2 MB
- SHA256:
- 93b49befef6faf0cffe51d5c688c5e97fa26cf350b55eb1ed15e2673adeafc70
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.