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YSU
/
aspram

Automatic Speech Recognition
Transformers
PyTorch
Armenian
Armenian
multilingual
wav2vec2
mozilla-foundation/common_voice_9_0
google/fleurs
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use YSU/aspram with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="YSU/aspram")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("YSU/aspram")
    model = AutoModelForCTC.from_pretrained("YSU/aspram")
  • Notebooks
  • Google Colab
  • Kaggle
  • Automatic SPeech Recognition for ArMenian

Automatic SPeech Recognition for ArMenian

TODO Model details

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Automatic Speech Recognition
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Datasets used to train YSU/aspram

google/fleurs

Viewer β€’ Updated 27 minutes ago β€’ 768k β€’ 57.2k β€’ 401

legacy-datasets/mc4

Updated Mar 5, 2024 β€’ 1.76k β€’ 153

Spaces using YSU/aspram 2

YSU/aspram-realtime
πŸ“š
eduagarcia/multilingual-tokenizer-leaderboard
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