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MmeOG
/
MME_STT_Model

Automatic Speech Recognition
Transformers
Safetensors
Hindi
whisper
speech-recognition
hindi
hinglish
Model card Files Files and versions
xet
Community

Instructions to use MmeOG/MME_STT_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MmeOG/MME_STT_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MmeOG/MME_STT_Model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("MmeOG/MME_STT_Model")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("MmeOG/MME_STT_Model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MME_STT_Model
3.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
MmeOG's picture
MmeOG
Update tokenizer_config.json
97e8ecb verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 18 days ago
  • LICENSE
    838 Bytes
    Update LICENSE 18 days ago
  • README.md
    1.96 kB
    Update model card 18 days ago
  • config.json
    1.26 kB
    Upload merged model 18 days ago
  • generation_config.json
    3.58 kB
    Upload merged model 18 days ago
  • model.safetensors
    3.09 GB
    xet
    Upload merged model 18 days ago
  • processor_config.json
    410 Bytes
    Upload merged model 18 days ago
  • tokenizer.json
    3.93 MB
    Upload merged model 18 days ago
  • tokenizer_config.json
    2.1 kB
    Update tokenizer_config.json 8 days ago