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danasone
/
rubert-tiny-speech

Token Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use danasone/rubert-tiny-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danasone/rubert-tiny-speech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="danasone/rubert-tiny-speech")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danasone/rubert-tiny-speech")
    model = AutoModelForTokenClassification.from_pretrained("danasone/rubert-tiny-speech")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-tiny-speech
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
danasone's picture
danasone
add tokenizer
a39c56b about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    1.37 kB
    add model about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    116 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer about 4 years ago
  • tokenizer_config.json
    568 Bytes
    add tokenizer about 4 years ago
  • vocab.txt
    1.08 MB
    add tokenizer about 4 years ago