Instructions to use omarabb315/Full-whisper-large-v3-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarabb315/Full-whisper-large-v3-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="omarabb315/Full-whisper-large-v3-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("omarabb315/Full-whisper-large-v3-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("omarabb315/Full-whisper-large-v3-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from omarabb315/Full-whisper-large-v3-ar: direct link, hf CLI and curl.
- Browser
- Download file 1.04 MB
-
https://huggingface.co/omarabb315/Full-whisper-large-v3-ar/resolve/main/vocab.json
- Command line
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hf download hf://omarabb315/Full-whisper-large-v3-ar/vocab.json
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curl -L -o vocab.json https://huggingface.co/omarabb315/Full-whisper-large-v3-ar/resolve/main/vocab.json
1.04 MB
File too large to display, you can check the raw version instead.