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exyms
/
pular-asr-xlsr-robust

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

Instructions to use exyms/pular-asr-xlsr-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use exyms/pular-asr-xlsr-robust with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="exyms/pular-asr-xlsr-robust")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("exyms/pular-asr-xlsr-robust")
    model = AutoModelForCTC.from_pretrained("exyms/pular-asr-xlsr-robust", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pular-asr-xlsr-robust
1.26 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
exyms's picture
exyms
Upload processor
436a6e7 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload Wav2Vec2ForCTC about 1 month ago
  • added_tokens.json
    30 Bytes
    Upload processor about 1 month ago
  • config.json
    2.09 kB
    Upload Wav2Vec2ForCTC about 1 month ago
  • model.safetensors
    1.26 GB
    xet
    Upload Wav2Vec2ForCTC about 1 month ago
  • preprocessor_config.json
    256 Bytes
    Upload processor about 1 month ago
  • special_tokens_map.json
    548 Bytes
    Upload processor about 1 month ago
  • tokenizer_config.json
    1.1 kB
    Upload processor about 1 month ago
  • vocab.json
    368 Bytes
    Upload processor about 1 month ago