Instructions to use PurCL/codeart-26m-mfc-3f-100c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-mfc-3f-100c with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CodeArtForMultipleSequenceClassification model = CodeArtForMultipleSequenceClassification.from_pretrained("PurCL/codeart-26m-mfc-3f-100c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PurCL/codeart-26m-mfc-3f-100c: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/PurCL/codeart-26m-mfc-3f-100c/resolve/main/training_args.bin
- Command line
-
hf download hf://PurCL/codeart-26m-mfc-3f-100c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PurCL/codeart-26m-mfc-3f-100c/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- e093c28a88743749a7efa9d656c7e196ad3cf330fadf4c5ede358642021f211d
- Size of remote file:
- 3.96 kB
- SHA256:
- c8ca311205c9df4e36d1369c5555fa106d197eae7bce5f0ff962660075d0a12c
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