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:
- 2ec8a2354d4a8a1e5f63879dc35992628278db1d9db75538405f7c07ab123b2d
- Size of remote file:
- 3.45 kB
- SHA256:
- eba9bd3d5b296eb72fa1c40a806659725b53e91d1cdd61324cf4601eb2f38df0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.