Automatic Speech Recognition
Transformers
ONNX
Arabic
English
cohere_asr
speech-recognition
sherpa-onnx
cohere-asr
arabic
Instructions to use abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload generation_config.json with huggingface_hub
Browse files- generation_config.json +10 -0
generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 4,
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"decoder_start_token_id": 13764,
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"eos_token_id": 3,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 2,
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"transformers_version": "4.51.3"
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}
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