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jonatasgrosman
/
wav2vec2-large-xlsr-53-polish

Automatic Speech Recognition
Transformers
PyTorch
JAX
Polish
wav2vec2
audio
hf-asr-leaderboard
mozilla-foundation/common_voice_6_0
robust-speech-event
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
5

Instructions to use jonatasgrosman/wav2vec2-large-xlsr-53-polish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jonatasgrosman/wav2vec2-large-xlsr-53-polish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-polish")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-polish")
    model = AutoModelForCTC.from_pretrained("jonatasgrosman/wav2vec2-large-xlsr-53-polish", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Multilingual powerhouse — testing for mobile deployment

#7 opened 24 days ago by
3morixd

Listed on OpenModelMap

#6 opened about 1 month ago by
duola15

Librarian Bot: Add base_model information to model

#3 opened over 2 years ago by
librarian-bot

How much time does it take to do the speech to text conversion? Would it be possible to add this information to the Model card?

#2 opened over 3 years ago by
filip-dahlberg

Adding `safetensors` variant of this model

#1 opened over 3 years ago by
SFconvertbot
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