Text Classification
Transformers
PyTorch
Arabic
bert
hate-speech
gender-based-violence
arabic
trinary-classification
pilot
Eval Results (legacy)
text-embeddings-inference
Instructions to use thejosango/nuha-ajp-trinary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thejosango/nuha-ajp-trinary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thejosango/nuha-ajp-trinary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thejosango/nuha-ajp-trinary") model = AutoModelForSequenceClassification.from_pretrained("thejosango/nuha-ajp-trinary") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened 1 day ago
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Adding `safetensors` variant of this model
#3 opened 1 day ago
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Adding `safetensors` variant of this model
#2 opened 3 days ago
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Adding `safetensors` variant of this model
#1 opened 3 days ago
by
SFconvertbot