Instructions to use aieng-lab/codet5p-770m_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-770m_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-770m_comment-type-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-770m_comment-type-java") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-770m_comment-type-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9114b1e685174a05ea2818695716eca1fd8820234e7be20f4a43a22c177bdc1
- Size of remote file:
- 1.48 GB
- SHA256:
- 6ca7a3d1927d881969b0779f4e2a168f20aea335bb08955197d02b461f2423a5
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