Instructions to use 4luc/codebert-code-clone-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4luc/codebert-code-clone-detector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("4luc/codebert-code-clone-detector") model = AutoModelForSequenceClassification.from_pretrained("4luc/codebert-code-clone-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from 4luc/codebert-code-clone-detector: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/4luc/codebert-code-clone-detector/resolve/main/model.safetensors
- Command line
-
hf download hf://4luc/codebert-code-clone-detector/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/4luc/codebert-code-clone-detector/resolve/main/model.safetensors
499 MB
- Xet hash:
- 2995df887f1e99940e9efaec526e60cf45a2ffddc4bdb49b63e1424456dfbc8e
- Size of remote file:
- 499 MB
- SHA256:
- 35fbe6bc95fab936ae1cfb11f3826fbe5aa63c59846d48e1e93571f7a40ee799
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