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esc-benchmark
/
wav2vec2-aed-pretrained

Automatic Speech Recognition
Transformers
JAX
speech-encoder-decoder
Model card Files Files and versions
xet
Community

Instructions to use esc-benchmark/wav2vec2-aed-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use esc-benchmark/wav2vec2-aed-pretrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="esc-benchmark/wav2vec2-aed-pretrained")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq
    
    tokenizer = AutoTokenizer.from_pretrained("esc-benchmark/wav2vec2-aed-pretrained")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("esc-benchmark/wav2vec2-aed-pretrained")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-aed-pretrained
2.36 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
esc-bencher's picture
esc-bencher
Add pretrained weights
26bce34 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    7.01 kB
    Add pretrained weights over 3 years ago
  • flax_model.msgpack
    2.35 GB
    xet
    Add pretrained weights over 3 years ago
  • merges.txt
    456 kB
    Add pretrained weights over 3 years ago
  • preprocessor_config.json
    214 Bytes
    Add pretrained weights over 3 years ago
  • special_tokens_map.json
    239 Bytes
    Add pretrained weights over 3 years ago
  • tokenizer.json
    2.11 MB
    Add pretrained weights over 3 years ago
  • tokenizer_config.json
    337 Bytes
    Add pretrained weights over 3 years ago
  • vocab.json
    798 kB
    Add pretrained weights over 3 years ago