Instructions to use mrm8488/codebert-finetuned-clone-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert-finetuned-clone-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mrm8488/codebert-finetuned-clone-detection")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-finetuned-clone-detection") model = AutoModel.from_pretrained("mrm8488/codebert-finetuned-clone-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25c22822678b401b830fe30660328f86c526a198d038a9ecf20aedf1c41759a5
- Size of remote file:
- 503 MB
- SHA256:
- 75fef5e9d9eef633026500b1f9fa0560256fda481fe2e726a49cddbd3db8f88d
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