Instructions to use Lazyhope/python-clone-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lazyhope/python-clone-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Lazyhope/python-clone-detection", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Lazyhope/python-clone-detection", trust_remote_code=True) model = AutoModel.from_pretrained("Lazyhope/python-clone-detection", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Lazyhope/python-clone-detection: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/Lazyhope/python-clone-detection/resolve/main/optimizer.pt
- Command line
-
hf download hf://Lazyhope/python-clone-detection/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Lazyhope/python-clone-detection/resolve/main/optimizer.pt
997 MB
- Xet hash:
- e239e2f5fdbcdb74d304e259f0c5c442fca86d0ddda6214e0c82867ed5dbf638
- Size of remote file:
- 997 MB
- SHA256:
- b1cdaa6c7d17e585d431feca386edd3809e0d6c6164910c9f4c34334f479ebc8
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