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Aditya02
/
cohere-transcribe-03-2026-ov-fp16

Automatic Speech Recognition
Transformers
OpenVINO
audio
hf-asr-leaderboard
speech-recognition
transcription
Model card Files Files and versions
xet
Community

Instructions to use Aditya02/cohere-transcribe-03-2026-ov-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aditya02/cohere-transcribe-03-2026-ov-fp16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Aditya02/cohere-transcribe-03-2026-ov-fp16")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Aditya02/cohere-transcribe-03-2026-ov-fp16", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cohere-transcribe-03-2026-ov-fp16 / models
4.38 GB
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  • 1 contributor
History: 1 commit
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Aditya02
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  • generation_config.json
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  • openvino_decoder_model.bin

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    307 MB
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  • openvino_decoder_model.xml
    583 kB
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  • openvino_decoder_with_past_model.bin

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  • openvino_decoder_with_past_model.xml
    523 kB
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  • openvino_encoder_model.bin

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    3.79 GB
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  • openvino_encoder_model.xml
    4.75 MB
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  • ov_cohere_transcribe_kvcache.json
    428 Bytes
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  • processor_config.json
    739 Bytes
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  • tokenizer.json
    1.82 MB
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  • tokenizer_config.json
    4.52 kB
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