Instructions to use ZarahShibli/pharo-code-comment-classification2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZarahShibli/pharo-code-comment-classification2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZarahShibli/pharo-code-comment-classification2")# Load model directly from transformers import AutoTokenizer, BERTClass tokenizer = AutoTokenizer.from_pretrained("ZarahShibli/pharo-code-comment-classification2") model = BERTClass.from_pretrained("ZarahShibli/pharo-code-comment-classification2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25a81408ee4f3b687ff7f0b27a8f39bc27ac9e8e174012630931dfb86cb50f45
- Size of remote file:
- 438 MB
- SHA256:
- 5c32e6d48abf76030d3c4cb927cfd3189e2389e5fb9afd36dd395335d352ca93
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