Instructions to use huggingkot/DeepScaleR-1.5B-Preview-q4f32_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-q4f32_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:
- e8273ec98cae4a4f2a0c302fc2c36926f49b2893c2b80804ddc9b5f57ca723b7
- Size of remote file:
- 26.3 MB
- SHA256:
- 33191957fc9ed85a106e2c7bd6d1038af7c87ffb1a39592be0edd7c9c9aec31b
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