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cchoi1022
/
test

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

Instructions to use cchoi1022/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cchoi1022/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cchoi1022/test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("cchoi1022/test")
    model = AutoModelForCTC.from_pretrained("cchoi1022/test")
  • Notebooks
  • Google Colab
  • Kaggle
test
8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 53 commits
cchoi1022's picture
cchoi1022
Upload Wav2Vec2ForCTC
fd63b66 almost 3 years ago
  • language_model
    Upload lm-boosted decoder almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • added_tokens.json
    3 Bytes
    Upload added_tokens.json almost 3 years ago
  • alphabet.json
    203 Bytes
    Update alphabet.json almost 3 years ago
  • config.json
    2.08 kB
    Upload Wav2Vec2ForCTC almost 3 years ago
  • preprocessor_config.json
    262 Bytes
    Upload lm-boosted decoder almost 3 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
    Upload Wav2Vec2ForCTC almost 3 years ago
  • special_tokens_map.json
    93 Bytes
    Update special_tokens_map.json almost 3 years ago
  • tokenizer_config.json
    591 Bytes
    Update tokenizer_config.json almost 3 years ago
  • vocab.json
    358 Bytes
    Update vocab.json almost 3 years ago