Instructions to use M47Labs/binary_classification_arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M47Labs/binary_classification_arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="M47Labs/binary_classification_arabic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("M47Labs/binary_classification_arabic") model = AutoModelForSequenceClassification.from_pretrained("M47Labs/binary_classification_arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from M47Labs/binary_classification_arabic: direct link, hf CLI and curl.
- Browser
- Download file 580 kB
-
https://huggingface.co/M47Labs/binary_classification_arabic/resolve/main/tokenizer.json
- Command line
-
hf download hf://M47Labs/binary_classification_arabic/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/M47Labs/binary_classification_arabic/resolve/main/tokenizer.json
580 kB
File too large to display, you can check the raw version instead.