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RASMUS
/
wav2vec2-xlsr-1b-et

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Estonian
wav2vec2
Generated from Trainer
mozilla-foundation/common_voice_8_0
audio
speech
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use RASMUS/wav2vec2-xlsr-1b-et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RASMUS/wav2vec2-xlsr-1b-et with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RASMUS/wav2vec2-xlsr-1b-et")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("RASMUS/wav2vec2-xlsr-1b-et")
    model = AutoModelForCTC.from_pretrained("RASMUS/wav2vec2-xlsr-1b-et", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xlsr-1b-et
3.85 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
anton-l's picture
anton-l HF Staff
Upload README.md
a72c8ad over 4 years ago
  • runs
    Training in progress, step 2000 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    13 Bytes
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  • README.md
    2.47 kB
    Upload README.md over 4 years ago
  • added_tokens.json
    23 Bytes
    add tokenizer over 4 years ago
  • config.json
    2.08 kB
    Training in progress, step 500 over 4 years ago
  • eval.py
    5.12 kB
    Upload eval.py over 4 years ago
  • eval_et_without_lm.sh
    137 Bytes
    add et without lm eval script over 4 years ago
  • eval_et_without_lm_dev_set.sh
    191 Bytes
    add et without lm eval script over 4 years ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 500 over 4 years ago
  • pytorch_model.bin
    3.85 GB
    xet
    Training in progress, step 2000 over 4 years ago
  • special_tokens_map.json
    309 Bytes
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  • tokenizer_config.json
    260 Bytes
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  • train_xlsr_et_common_voice_8.ipynb
    457 kB
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  • training_args.bin
    3.06 kB
    xet
    Training in progress, step 500 over 4 years ago
  • vocab.json
    338 Bytes
    add tokenizer over 4 years ago