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:
- 5c61252aa4c0a082811e06a5562f442d31d5a2d5aa14136aaf357d6a1b0d2e51
- Size of remote file:
- 4.09 kB
- SHA256:
- 3c9afc151079f723aaf55e1c31f15e9fa248d61133309b574902aef6a2150344
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