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
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Jul09_19-42-46_0015a74aa0cc/events.out.tfevents.1720554169.0015a74aa0cc.10978.7
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runs/Jul09_19-51-09_0015a74aa0cc/events.out.tfevents.1720554672.0015a74aa0cc.10978.8
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training_args.bin
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