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onecxi
/
vakgyata-base

Audio Classification
Transformers
ONNX
Safetensors
PyTorch
wav2vec2
language-identification
indian-languages
multilingual
speech
asr-preprocessing
callcenter-ai
speech-analytics
huggingface
Model card Files Files and versions
xet
Community

Instructions to use onecxi/vakgyata-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use onecxi/vakgyata-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="onecxi/vakgyata-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("onecxi/vakgyata-base")
    model = AutoModelForAudioClassification.from_pretrained("onecxi/vakgyata-base")
  • Notebooks
  • Google Colab
  • Kaggle
vakgyata-base
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  • 1 contributor
History: 3 commits
onecxi's picture
onecxi
Update README.md
50bd214 verified 10 months ago
  • onnx
    Initial commit 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    3.06 kB
    Update README.md 10 months ago
  • config.json
    2.7 kB
    Initial commit 10 months ago
  • model.safetensors
    381 MB
    xet
    Initial commit 10 months ago
  • preprocessor_config.json
    214 Bytes
    Initial commit 10 months ago