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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e816bac8bbe918a657fe51426e51c16fd62106b2f439c083d7c271d884baf34
- Size of remote file:
- 559 MB
- SHA256:
- 5189ec7bd78c63f97be1ea360e7bcc51f5c8cf4ca52d128bdff5280ff580c5d1
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