Text Classification
Transformers
Safetensors
Arabic
bert
arabic
end-of-utterance
eou
turn-detection
voice-agent
saudi-dialect
conversational-ai
livekit
Eval Results (legacy)
text-embeddings-inference
Instructions to use Amr-h/arabic-eou-marbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amr-h/arabic-eou-marbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amr-h/arabic-eou-marbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Amr-h/arabic-eou-marbert") model = AutoModelForSequenceClassification.from_pretrained("Amr-h/arabic-eou-marbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Amr-h/arabic-eou-marbert: direct link, hf CLI and curl.
- Browser
- Download file 2.69 MB
-
https://huggingface.co/Amr-h/arabic-eou-marbert/resolve/main/tokenizer.json
- Command line
-
hf download hf://Amr-h/arabic-eou-marbert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Amr-h/arabic-eou-marbert/resolve/main/tokenizer.json
2.69 MB
File too large to display, you can check the raw version instead.