Instructions to use aieng-lab/codet5p-770m_commit-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codet5p-770m_commit-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codet5p-770m_commit-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-770m_commit-intent") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-770m_commit-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 272706454057b356077b14312124bb6795e379f65eba370d2c0a6e08a0902a1f
- Size of remote file:
- 1.48 GB
- SHA256:
- 7f39dc38f98abff0b051b7c156396d08fe6c5104f662a677307036d6fbe2b3c8
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