Instructions to use ZarahShibli/pharo-code-comment-classification3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZarahShibli/pharo-code-comment-classification3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZarahShibli/pharo-code-comment-classification3")# Load model directly from transformers import AutoTokenizer, BERTClass tokenizer = AutoTokenizer.from_pretrained("ZarahShibli/pharo-code-comment-classification3") model = BERTClass.from_pretrained("ZarahShibli/pharo-code-comment-classification3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7793746b517bd2b76fbdb8a513bd153a1483ad9e12d4883bc524b360032bff7
- Size of remote file:
- 438 MB
- SHA256:
- cac11ccd67e8c1d05ad801087984290fb09950d38b4c589dcbcf5361659d259b
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