Instructions to use afaji/summerschool-bert-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/summerschool-bert-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afaji/summerschool-bert-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afaji/summerschool-bert-hate") model = AutoModelForSequenceClassification.from_pretrained("afaji/summerschool-bert-hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6513c542a5ed6d273a490845e6c62cb067b2b5b59b804b5506ecbaa40ddb672
- Size of remote file:
- 5.05 kB
- SHA256:
- 67db699f4cdbdd7c860300a92983530e4e8d429977bd4d838b02818c684519bb
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