Instructions to use keelezibel/id-hatespeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keelezibel/id-hatespeech with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelClassification tokenizer = AutoTokenizer.from_pretrained("keelezibel/id-hatespeech") model = BertForMultiLabelClassification.from_pretrained("keelezibel/id-hatespeech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7291336318abda2a8e5b7172dce16605b85d9cd7dc3460bf2af1e6f41677f14a
- Size of remote file:
- 498 MB
- SHA256:
- 7920f9e9d52b604974873a27317a7bd90108e072e416d8c25e96ba162d7ec581
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