Text Classification
Transformers
PyTorch
Safetensors
Arabic
bert
hate-speech
gender-based-violence
arabic
binary-classification
pilot
Eval Results (legacy)
text-embeddings-inference
Instructions to use thejosango/nuha-ajp-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thejosango/nuha-ajp-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thejosango/nuha-ajp-binary")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thejosango/nuha-ajp-binary") model = AutoModelForSequenceClassification.from_pretrained("thejosango/nuha-ajp-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from thejosango/nuha-ajp-binary: direct link, hf CLI and curl.
- Browser
- Download file 314 MB
-
https://huggingface.co/thejosango/nuha-ajp-binary/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://thejosango/nuha-ajp-binary/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/thejosango/nuha-ajp-binary/resolve/main/pytorch_model.bin
314 MB
- Xet hash:
- 060be6efb8f603b16ce2cb482c0416b3312c78050e622d74a8bf8baddfdb5181
- Size of remote file:
- 314 MB
- SHA256:
- 53bc9d93dcdcd0e5cd9c277e391694643dd8356deda25ae33f7a8b50837d49a6
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