Instructions to use uclanlp/plbart-java-clone-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-java-clone-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uclanlp/plbart-java-clone-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-java-clone-detection") model = AutoModelForSequenceClassification.from_pretrained("uclanlp/plbart-java-clone-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c815021593a09bed0c74cb19070f99224b24c00ceefa473380331a085a106a
- Size of remote file:
- 559 MB
- SHA256:
- 5776d1e63555c1a08fc90ddf4f335ecdee42604bc230445dab8249171c49adbc
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