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brahmairesearch
/
vaani-opt

Automatic Speech Recognition
Transformers
ONNX
Safetensors
whisper
audio
Model card Files Files and versions
xet
Community
1

Instructions to use brahmairesearch/vaani-opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use brahmairesearch/vaani-opt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="brahmairesearch/vaani-opt")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("brahmairesearch/vaani-opt")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("brahmairesearch/vaani-opt")
  • Notebooks
  • Google Colab
  • Kaggle
vaani-opt
6.98 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mav23's picture
mav23
Adding ONNX file of this model (#1)
188391a verified over 1 year ago
  • onnx
    Adding ONNX file of this model (#1) over 1 year ago
  • .gitattributes
    1.58 kB
    Adding ONNX file of this model (#1) over 1 year ago
  • README.md
    20.9 kB
    __init__ over 1 year ago
  • added_tokens.json
    36.3 kB
    __init__ over 1 year ago
  • config.json
    1.3 kB
    __init__ over 1 year ago
  • generation_config.json
    4.02 kB
    __init__ over 1 year ago
  • merges.txt
    544 kB
    __init__ over 1 year ago
  • model.safetensors
    1.62 GB
    xet
    __init__ over 1 year ago
  • normalizer.json
    54.4 kB
    __init__ over 1 year ago
  • preprocessor_config.json
    354 Bytes
    __init__ over 1 year ago
  • special_tokens_map.json
    2.33 kB
    __init__ over 1 year ago
  • tokenizer.json
    2.83 MB
    __init__ over 1 year ago
  • tokenizer_config.json
    296 kB
    __init__ over 1 year ago
  • vocab.json
    1.09 MB
    __init__ over 1 year ago