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 scheduler.pt from Lazyhope/python-clone-detection: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/Lazyhope/python-clone-detection/resolve/main/scheduler.pt
- Command line
-
hf download hf://Lazyhope/python-clone-detection/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Lazyhope/python-clone-detection/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- a2e3bce82d43e1085745a2157508c3568f89830f42c35df7f35b4b33f3f0786f
- Size of remote file:
- 627 Bytes
- SHA256:
- 65f5abd7ad625893f59c14b4a3405aff0c32b287798adf7ea962303aaf2dd62c
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