Instructions to use aieng-lab/codet5p-220m_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codet5p-220m_comment-type-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codet5p-220m_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-220m_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-220m_comment-type-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03bf23c98cdb6bda7a46582f0497ff98c15a47baa7f5db1950a082d54a9f9bb4
- Size of remote file:
- 447 MB
- SHA256:
- 6c6fdd4533d35c09c23ad44f4c61297370c0d354a9b684153512b1d804a5003c
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