Instructions to use Byne/whisper-large-v3-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Byne/whisper-large-v3-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Byne/whisper-large-v3-arabic")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Byne/whisper-large-v3-arabic") model = AutoModelForSpeechSeq2Seq.from_pretrained("Byne/whisper-large-v3-arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"pad_token_id": 50256,
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"scale_embedding": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3"
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51866
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"pad_token_id": 50256,
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"scale_embedding": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51866
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