Instructions to use ZarahShibli/python-code-comment-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZarahShibli/python-code-comment-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZarahShibli/python-code-comment-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZarahShibli/python-code-comment-classification") model = AutoModelForMaskedLM.from_pretrained("ZarahShibli/python-code-comment-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a0e7d22123174558a17a766c233c3f8aced1b61052d5ef44458fc608105cded
- Size of remote file:
- 438 MB
- SHA256:
- 9d3c0ba23f13f6fae26fed6c22cce5c9dfda10f046be7607b3314d7c4fb61168
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