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)# 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) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14b494f7a259b0830a4761f92a1e3782dad010d4d63b736ef79771d585ccb12c
- Size of remote file:
- 557 Bytes
- SHA256:
- 2878f1a10791fec98059fdd9bb225a422c5a74c51a5aff2629a047b0538b27cf
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