Instructions to use aieng-lab/codebert-base_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42c1249ecd540f621e0104d1af7e724afec6e05ece510b5d0afc63dffccfe407
- Size of remote file:
- 249 MB
- SHA256:
- 8215de5fad64c432c6df53af9aedd54fd186f5d00f87a6a2d484873fee300001
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