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Orange
/
SSA-HuBERT-base-60k

Feature Extraction
Transformers
PyTorch
Safetensors
hubert
speech processing
self-supervision
african languages
🇪🇺 Region: EU
Model card Files Files and versions
xet
Community
2

Instructions to use Orange/SSA-HuBERT-base-60k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Orange/SSA-HuBERT-base-60k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Orange/SSA-HuBERT-base-60k")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Orange/SSA-HuBERT-base-60k")
    model = AutoModel.from_pretrained("Orange/SSA-HuBERT-base-60k")
  • Notebooks
  • Google Colab
  • Kaggle
SSA-HuBERT-base-60k
Ctrl+K
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  • 3 contributors
History: 20 commits
Antoine-caubriere's picture
Antoine-caubriere
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
e8f821c verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • ASR_FLEURS-swahili_hf.yaml
    5.39 kB
    add notebook finetuning on FLEURS almost 2 years ago
  • README.md
    4.9 kB
    Update README.md almost 2 years ago
  • SB_ASR_FLEURS_finetuning.ipynb
    24.8 kB
    Upload SB_ASR_FLEURS_finetuning.ipynb almost 2 years ago
  • config.json
    1.38 kB
    upload model 60k almost 2 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#2) 6 months ago
  • preprocessor_config.json
    184 Bytes
    upload model 60k almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    378 MB
    xet
    Upload pytorch_model.bin almost 2 years ago