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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17db40977233bfbb77bc99f51b600c0690c701774f89210c81bf4a67363f0179
- Size of remote file:
- 438 MB
- SHA256:
- c2ee46c19f39c6ace62509fac9bde66646248d3e59e054ecfe7bb108457a2c34
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