Instructions to use aieng-lab/codet5p-220m_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codet5p-220m_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codet5p-220m_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-220m_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-220m_commit-intent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d199976fad0a0440e0703f76ccb093c868c0cff59a5d74845c295fd0727116da
- Size of remote file:
- 447 MB
- SHA256:
- 12ae2f1e234b0f10e39b28b4d156bffedf9818fba3539c087cb2d18b78931212
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