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:
- 3c4da84906ada10f4ca5374017ae81c4d94729bac6287a5875665625b9fa2b8b
- Size of remote file:
- 499 MB
- SHA256:
- 7e95eac00b63d1ffacb396b19b14552a5607e8b6744f6ec509c9624da4968711
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