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Harveenchadha
/
hindi_base_wav2vec2

Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use Harveenchadha/hindi_base_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Harveenchadha/hindi_base_wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Harveenchadha/hindi_base_wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Harveenchadha/hindi_base_wav2vec2")
    model = AutoModelForCTC.from_pretrained("Harveenchadha/hindi_base_wav2vec2")
  • Notebooks
  • Google Colab
  • Kaggle
hindi_base_wav2vec2 / language_model
409 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
harveenchadha
Adding base model
900f828 over 4 years ago
  • attrs.json
    78 Bytes
    xet
    Adding base model over 4 years ago
  • lm.binary
    397 MB
    xet
    Adding base model over 4 years ago
  • unigrams.txt
    11.2 MB
    xet
    Adding base model over 4 years ago