Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
arabic
saudi-arabic
najdi
hijazi
khaleeji
gulf-arabic
speech-recognition
voho
Eval Results (legacy)
Instructions to use VohoAI/voho-saudi-stt-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VohoAI/voho-saudi-stt-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="VohoAI/voho-saudi-stt-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("VohoAI/voho-saudi-stt-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("VohoAI/voho-saudi-stt-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VohoAI/voho-saudi-stt-small: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/VohoAI/voho-saudi-stt-small/resolve/main/tokenizer.json
- Command line
-
hf download hf://VohoAI/voho-saudi-stt-small/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/VohoAI/voho-saudi-stt-small/resolve/main/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.