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heado
/
asr_mind_mode

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use heado/asr_mind_mode with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="heado/asr_mind_mode")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("heado/asr_mind_mode")
    model = AutoModelForCTC.from_pretrained("heado/asr_mind_mode", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
asr_mind_mode
1.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
heado's picture
heado
Upload processor
25c3183 verified 8 months ago
  • runs
    heado 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    1.63 kB
    heado 8 months ago
  • added_tokens.json
    34 Bytes
    Upload processor 8 months ago
  • config.json
    2 kB
    heado 8 months ago
  • model.safetensors
    1.27 GB
    xet
    heado 8 months ago
  • preprocessor_config.json
    254 Bytes
    Upload processor 8 months ago
  • special_tokens_map.json
    520 Bytes
    Upload processor 8 months ago
  • tokenizer_config.json
    1.19 kB
    Upload processor 8 months ago
  • training_args.bin
    5.84 kB
    xet
    heado 8 months ago
  • vocab.json
    17 kB
    Upload processor 8 months ago