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TalTechNLP
/
xls-r-300m-et

Automatic Speech Recognition
Transformers
PyTorch
Estonian
wav2vec2
audio
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use TalTechNLP/xls-r-300m-et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TalTechNLP/xls-r-300m-et with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="TalTechNLP/xls-r-300m-et")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("TalTechNLP/xls-r-300m-et")
    model = AutoModelForCTC.from_pretrained("TalTechNLP/xls-r-300m-et")
  • Notebooks
  • Google Colab
  • Kaggle
xls-r-300m-et
1.26 GB
Ctrl+K
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  • 1 contributor
History: 8 commits
TanelAlumae's picture
TanelAlumae
Update README.md
a1a327b almost 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    2.35 kB
    Update README.md almost 4 years ago
  • config.json
    2.03 kB
    First model version over 4 years ago
  • preprocessor_config.json
    212 Bytes
    First model version over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    1.26 GB
    xet
    First model version over 4 years ago
  • special_tokens_map.json
    85 Bytes
    First model version over 4 years ago
  • tokenizer_config.json
    181 Bytes
    First model version over 4 years ago
  • vocab.json
    2 kB
    First model version over 4 years ago