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dragonSwing
/
viwav2vec2-base-3k

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Vietnamese
wav2vec2
pretraining
speech
Model card Files Files and versions
xet
Community
1

Instructions to use dragonSwing/viwav2vec2-base-3k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dragonSwing/viwav2vec2-base-3k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="dragonSwing/viwav2vec2-base-3k")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForPreTraining
    
    processor = AutoProcessor.from_pretrained("dragonSwing/viwav2vec2-base-3k")
    model = AutoModelForPreTraining.from_pretrained("dragonSwing/viwav2vec2-base-3k")
  • Notebooks
  • Google Colab
  • Kaggle
viwav2vec2-base-3k
760 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
dragonSwing's picture
dragonSwing
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
7fb8b0b almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    1.42 kB
    Update README about 4 years ago
  • config.json
    2.03 kB
    Upload model about 4 years ago
  • model.safetensors
    380 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    229 Bytes
    Upload model about 4 years ago
  • pytorch_model.bin
    380 MB
    xet
    Upload model about 4 years ago