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:
- e0b992c7897647e5c2e594ace9f936ea5270f4b4484a5422872d7e94f218284d
- Size of remote file:
- 14.6 kB
- SHA256:
- b3f31d9cd8b9343686ce0ba7b5b8826fe4a034f78096c334829d5e6067b62029
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