Instructions to use natdebandi/beto_hate_speech_ar_bin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natdebandi/beto_hate_speech_ar_bin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="natdebandi/beto_hate_speech_ar_bin")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("natdebandi/beto_hate_speech_ar_bin") model = AutoModelForSequenceClassification.from_pretrained("natdebandi/beto_hate_speech_ar_bin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 406d0e918daaf36d22ba264b96c77114067caf63b4f2b22f9083fb0ad0dc8726
- Size of remote file:
- 439 MB
- SHA256:
- efcb5b4473cf95db9df89436b36002c411d6a26e7b3fe41ef22405dc44de3047
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