Instructions to use ZarahShibli/java-code-comment-classification3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZarahShibli/java-code-comment-classification3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZarahShibli/java-code-comment-classification3")# Load model directly from transformers import AutoTokenizer, BERTClass tokenizer = AutoTokenizer.from_pretrained("ZarahShibli/java-code-comment-classification3") model = BERTClass.from_pretrained("ZarahShibli/java-code-comment-classification3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28d8b168dfb1fa9fd471151f037ffbdfc2108310a124fd2e4c1e11ec42593990
- Size of remote file:
- 438 MB
- SHA256:
- b09e087d6b4e1a68828b2b0a7b48f302ce57584e3a8cf4f25ad230a967439064
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