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Respeecher
/
ukrainian-data2vec-asr

Automatic Speech Recognition
Transformers
PyTorch
Ukrainian
data2vec-audio
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use Respeecher/ukrainian-data2vec-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Respeecher/ukrainian-data2vec-asr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Respeecher/ukrainian-data2vec-asr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCTC
    
    tokenizer = AutoTokenizer.from_pretrained("Respeecher/ukrainian-data2vec-asr")
    model = AutoModelForCTC.from_pretrained("Respeecher/ukrainian-data2vec-asr")
  • Notebooks
  • Google Colab
  • Kaggle
ukrainian-data2vec-asr
1.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
VSydorskyi's picture
VSydorskyi
Update README.md
8c51d1f about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2.27 kB
    Update README.md about 3 years ago
  • added_tokens.json
    23 Bytes
    add model about 3 years ago
  • config.json
    2.16 kB
    add model about 3 years ago
  • preprocessor_config.json
    257 Bytes
    add model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.25 GB
    xet
    add model about 3 years ago
  • special_tokens_map.json
    309 Bytes
    add model about 3 years ago
  • tokenizer_config.json
    435 Bytes
    add model about 3 years ago
  • vocab.json
    522 Bytes
    add model about 3 years ago