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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
aspram
12.2 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 11 commits
yerevann's picture
yerevann
lbourdois's picture
lbourdois
Add multilingual to the language tag (#1)
a575cc6 over 3 years ago
  • aspram
    Move to package about 4 years ago
  • language_model
    lm about 4 years ago
  • README.md
    430 Bytes
    Add multilingual to the language tag (#1) over 3 years ago
  • added_tokens.json
    23 Bytes
    configs about 4 years ago
  • alphabet.json
    458 Bytes
    configs about 4 years ago
  • config.json
    2.07 kB
    configs about 4 years ago
  • preprocessor_config.json
    262 Bytes
    configs about 4 years ago
  • pytorch_model.bin
    8.64 GB
    xet
    models about 4 years ago
  • special_tokens_map.json
    502 Bytes
    configs about 4 years ago
  • tokenizer_config.json
    338 Bytes
    configs about 4 years ago
  • training_args.bin
    3.06 kB
    xet
    models about 4 years ago
  • vocab.json
    424 Bytes
    configs about 4 years ago