Instructions to use PurCL/codeart-3m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-3m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CodeArtForMaskedLMWithEdgePrediction model = CodeArtForMaskedLMWithEdgePrediction.from_pretrained("PurCL/codeart-3m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from PurCL/codeart-3m: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/PurCL/codeart-3m/resolve/main/model.safetensors
- Command line
-
hf download hf://PurCL/codeart-3m/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/PurCL/codeart-3m/resolve/main/model.safetensors
441 MB
- Xet hash:
- e4a67e84caa65a8586e8d54fcd6089aa6b8c11400ba027c8c4cb0fd66ad1645a
- Size of remote file:
- 441 MB
- SHA256:
- c16183f954259c749f652b11ca154a73170cd391bba5997957ce3c544c3bb3a2
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