Text Classification
Transformers
PyTorch
Arabic
bert
hate-speech
gender-based-violence
arabic
multiclass-classification
pilot
Eval Results (legacy)
text-embeddings-inference
Instructions to use thejosango/nuha-multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thejosango/nuha-multiclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thejosango/nuha-multiclass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thejosango/nuha-multiclass") model = AutoModelForSequenceClassification.from_pretrained("thejosango/nuha-multiclass") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43498f449b88ce44a9632ac430d359089c3b4a2235f131131b7c86263c479687
- Size of remote file:
- 541 MB
- SHA256:
- 796fd97fe5001c0e539646bc40dccdec9867ca6a64be77757db496e0849844ef
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