Instructions to use sujalgawas/graphcodebert-code-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujalgawas/graphcodebert-code-quality with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sujalgawas/graphcodebert-code-quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sujalgawas/graphcodebert-code-quality: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/sujalgawas/graphcodebert-code-quality/resolve/3efb95cbecce79e15bcad21683d2596c72e7b1dc/tokenizer.json
- Command line
-
hf download hf://sujalgawas/graphcodebert-code-quality@3efb95cbecce79e15bcad21683d2596c72e7b1dc/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sujalgawas/graphcodebert-code-quality/resolve/3efb95cbecce79e15bcad21683d2596c72e7b1dc/tokenizer.json
3.56 MB
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