Text Classification
Transformers
PyTorch
Safetensors
Arabic
Egyptian Arabic
bert
text-embeddings-inference
Instructions to use IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection") model = AutoModelForSequenceClassification.from_pretrained("IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
1264f71
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Parent(s): 9ddba9a
Upload pytorch_model.bin with git-lfs
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pytorch_model.bin
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