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esc-benchmark
/
wav2vec2-aed-ami

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="esc-benchmark/wav2vec2-aed-ami")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq
    
    tokenizer = AutoTokenizer.from_pretrained("esc-benchmark/wav2vec2-aed-ami")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("esc-benchmark/wav2vec2-aed-ami")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-aed-ami / models
168 kB
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  • 1 contributor
History: 1 commit
esc-bencher's picture
esc-bencher
Add training scripts and weights
feeb666 over 3 years ago
  • __init__.py
    486 Bytes
    Add training scripts and weights over 3 years ago
  • configuration_bart.py
    8.66 kB
    Add training scripts and weights over 3 years ago
  • configuration_speech_encoder_decoder.py
    5.08 kB
    Add training scripts and weights over 3 years ago
  • configuration_wav2vec2.py
    19.8 kB
    Add training scripts and weights over 3 years ago
  • modeling_flax_bart.py
    34 kB
    Add training scripts and weights over 3 years ago
  • modeling_flax_speech_encoder_decoder.py
    60.2 kB
    Add training scripts and weights over 3 years ago
  • modeling_flax_wav2vec2.py
    39.7 kB
    Add training scripts and weights over 3 years ago