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:
- 52e0787ab886b09f31a445ece7b6bcb545cd10d9fd01496ee9274b882d4a8e2e
- Size of remote file:
- 26.3 MB
- SHA256:
- 1d364d3b40bbf6284f93a65d6f2bb4f4977033b194e432fb2081548fb242e84e
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