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marma
/
test

Automatic Speech Recognition
Transformers
PyTorch
JAX
Swedish
wav2vec2
speech
audio
Model card Files Files and versions
xet
Community
1

Instructions to use marma/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use marma/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="marma/test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("marma/test")
    model = AutoModelForCTC.from_pretrained("marma/test")
  • Notebooks
  • Google Colab
  • Kaggle
test
2.52 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
Patrick von Platen
upload flax model
d3b539a almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    82 Bytes
    Update README.md about 5 years ago
  • config.json
    1.29 kB
    First about 5 years ago
  • flax_model.msgpack
    1.26 GB
    xet
    upload flax model almost 5 years ago
  • preprocessor_config.json
    159 Bytes
    C about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
    C about 5 years ago
  • special_tokens_map.json
    87 Bytes
    First about 5 years ago
  • tokenizer_config.json
    247 Bytes
    C about 5 years ago
  • vocab.json
    347 Bytes
    First about 5 years ago