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StephennFernandes
/
wav2vec2-XLS-R-300m-assamese

Feature Extraction
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use StephennFernandes/wav2vec2-XLS-R-300m-assamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use StephennFernandes/wav2vec2-XLS-R-300m-assamese with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="StephennFernandes/wav2vec2-XLS-R-300m-assamese")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("StephennFernandes/wav2vec2-XLS-R-300m-assamese")
    model = AutoModel.from_pretrained("StephennFernandes/wav2vec2-XLS-R-300m-assamese")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-XLS-R-300m-assamese
1.26 GB
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  • 2 contributors
History: 5 commits
StephennFernandes's picture
StephennFernandes
upload train_result.json
5f7c476 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • added_tokens.json
    25 Bytes
    add tokenizer about 4 years ago
  • config.json
    1.62 kB
    add model about 4 years ago
  • preprocessor_config.json
    262 Bytes
    Upload preprocessor_config.json about 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    502 Bytes
    add tokenizer about 4 years ago
  • tokenizer_config.json
    357 Bytes
    add tokenizer about 4 years ago
  • train_results.json
    196 Bytes
    upload train_result.json about 4 years ago
  • vocab.json
    1.07 kB
    add tokenizer about 4 years ago