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lsnoo
/
XLS-R-300m_35children_jamo

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use lsnoo/XLS-R-300m_35children_jamo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lsnoo/XLS-R-300m_35children_jamo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lsnoo/XLS-R-300m_35children_jamo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("lsnoo/XLS-R-300m_35children_jamo")
    model = AutoModelForCTC.from_pretrained("lsnoo/XLS-R-300m_35children_jamo")
  • Notebooks
  • Google Colab
  • Kaggle
XLS-R-300m_35children_jamo
1.26 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
lsnoo's picture
lsnoo
Initial Push to HF
269bf12 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    21 Bytes
    initial commit about 2 years ago
  • config.json
    2.25 kB
    Initial Push to HF about 2 years ago
  • preprocessor_config.json
    254 Bytes
    Initial Push to HF about 2 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
    Initial Push to HF about 2 years ago
  • special_tokens_map.json
    96 Bytes
    Initial Push to HF about 2 years ago
  • tokenizer_config.json
    333 Bytes
    Initial Push to HF about 2 years ago
  • vocab.json
    672 Bytes
    Initial Push to HF about 2 years ago