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OctaSpace
/
wav2vec2-large-finetuned

Transformers
PyTorch
Amharic
Swahili
Wolof
wav2vec2
pretraining
speech pretraining
african
fongbe
swahili
wolof
ahmaric
Model card Files Files and versions
xet
Community
1

Instructions to use OctaSpace/wav2vec2-large-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OctaSpace/wav2vec2-large-finetuned with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForPreTraining
    
    processor = AutoProcessor.from_pretrained("OctaSpace/wav2vec2-large-finetuned")
    model = AutoModelForPreTraining.from_pretrained("OctaSpace/wav2vec2-large-finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-finetuned
1.27 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
alaleye's picture
alaleye
Update README.md
7107bfd verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.71 kB
    Update README.md about 2 years ago
  • config.json
    2.08 kB
    Upload 2 files over 2 years ago
  • pytorch_model.bin
    1.27 GB
    xet
    Upload 2 files over 2 years ago