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
- Xet hash:
- 281c326c50cba7ac6f0280b09df87a1b27d04a920802b063885eaaeb6a4b1d40
- Size of remote file:
- 651 MB
- SHA256:
- fbfc4b2c3e62a52971d05b8d3c78cc010b6ddceca97045dce98f06936f922295
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