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mazesmazes
/
tiny-audio

Automatic Speech Recognition
Transformers
Safetensors
English
asr_model
feature-extraction
asr
speech-recognition
audio
qwen
glm-asr
custom_code
Model card Files Files and versions
xet
Community

Instructions to use mazesmazes/tiny-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mazesmazes/tiny-audio with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mazesmazes/tiny-audio", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mazesmazes/tiny-audio", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-audio
6.74 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mazesmazes's picture
mazesmazes
Training in progress - step 1000
c5a1720 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Training in progress - step 1000 about 1 month ago
  • alignment.py
    10.2 kB
    Training in progress - step 1000 about 1 month ago
  • asr_config.py
    10.3 kB
    Training in progress - step 1000 about 1 month ago
  • asr_modeling.py
    38.1 kB
    Training in progress - step 1000 about 1 month ago
  • asr_pipeline.py
    12.5 kB
    Training in progress - step 1000 about 1 month ago
  • asr_processing.py
    4.88 kB
    Training in progress - step 1000 about 1 month ago
  • chat_template.jinja
    368 Bytes
    Training in progress - step 1000 about 1 month ago
  • config.json
    8.18 kB
    Training in progress - step 1000 about 1 month ago
  • diarization.py
    26.8 kB
    Training in progress - step 1000 about 1 month ago
  • generation_config.json
    340 Bytes
    Training in progress - step 1000 about 1 month ago
  • model.safetensors
    3.08 MB
    xet
    Training in progress - step 1000 about 1 month ago
  • preprocessor_config.json
    423 Bytes
    Training in progress - step 1000 about 1 month ago
  • projectors.py
    19.8 kB
    Training in progress - step 1000 about 1 month ago
  • tokenizer.json
    3.52 MB
    Training in progress - step 1000 about 1 month ago
  • tokenizer_config.json
    430 Bytes
    Training in progress - step 1000 about 1 month ago