Instructions to use aieng-lab/codet5p-770m_comment-type-python 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-python 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-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-770m_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-770m_comment-type-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c550d4ee14b5aca0c301fd573cd1730279aa2a6eb8620c22e7783987c759121
- Size of remote file:
- 1.48 GB
- SHA256:
- af24ad994b4a4d9a3abba2545f863ff84eb8fa0529747dbc856b08ced657772e
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