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frmccann
/
CLSRIL-23

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

Instructions to use frmccann/CLSRIL-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use frmccann/CLSRIL-23 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="frmccann/CLSRIL-23")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("frmccann/CLSRIL-23")
    model = AutoModel.from_pretrained("frmccann/CLSRIL-23")
  • Notebooks
  • Google Colab
  • Kaggle
CLSRIL-23
755 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
3c28221 verified over 1 year ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model over 1 year ago
  • config.json
    2.09 kB
    uupdated configs about 4 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    255 Bytes
    all configs stuff about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    cmon about 4 years ago
  • special_tokens_map.json
    85 Bytes
    all configs stuff about 4 years ago
  • tokenizer_config.json
    257 Bytes
    all configs stuff about 4 years ago
  • vocab.json
    743 Bytes
    uupdated configs about 4 years ago