Text Classification
Transformers
PyTorch
Arabic
bert
hate-speech
gender-based-violence
arabic
binary-classification
pilot
Eval Results (legacy)
text-embeddings-inference
Instructions to use thejosango/nuha-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thejosango/nuha-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thejosango/nuha-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thejosango/nuha-binary") model = AutoModelForSequenceClassification.from_pretrained("thejosango/nuha-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3deba81e53a32f01b5d01e17d52a78d90dfcf9a3f12007f0ec7e6cbe1f75bbfb
- Size of remote file:
- 4.09 kB
- SHA256:
- 538dcd3d5266e8ce191235a9b808e1948c5c7bea875e61d84994880afc0a76d0
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