Text Classification
Transformers
PyTorch
Hebrew
bert
feature-extraction
code
text-embeddings-inference
Instructions to use SinaLab/Offensive-Hebrew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/Offensive-Hebrew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SinaLab/Offensive-Hebrew")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SinaLab/Offensive-Hebrew") model = AutoModel.from_pretrained("SinaLab/Offensive-Hebrew") - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: text-classification
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- text: ืืงืืื ืฉืืื ืฉืืจื ืฉืืคื ืื ืืืืื ืงืฉืื. ืืฉืคืื ืืืื ื.
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## Hebrew Corpus
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pipeline_tag: text-classification
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## Hebrew Corpus
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