Instructions to use jiekeshi/GraphCodeBERT-Adversarial-Finetuned-Clone-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiekeshi/GraphCodeBERT-Adversarial-Finetuned-Clone-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jiekeshi/GraphCodeBERT-Adversarial-Finetuned-Clone-Detection")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jiekeshi/GraphCodeBERT-Adversarial-Finetuned-Clone-Detection") model = AutoModelForMaskedLM.from_pretrained("jiekeshi/GraphCodeBERT-Adversarial-Finetuned-Clone-Detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:94584a88117d2b67410cba449adb1b522cdf6d65cff02b323fa22a7cd184f5cb
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size 503343748
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