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BVendeville
/
couda-albert-xxl

Text Classification
Transformers
PyTorch
coherence
discourse
albert
simpsy
Model card Files Files and versions
xet
Community
1

Instructions to use BVendeville/couda-albert-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BVendeville/couda-albert-xxl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="BVendeville/couda-albert-xxl")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BVendeville/couda-albert-xxl", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
couda-albert-xxl
893 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
BVendeville's picture
BVendeville
Upload folder using huggingface_hub
80ec9b7 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    763 Bytes
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  • config.json
    506 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    890 MB
    xet
    Upload folder using huggingface_hub about 1 month ago
  • spiece.model
    760 kB
    xet
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  • tokenizer.json
    1.31 MB
    Upload folder using huggingface_hub about 1 month ago
  • tokenizer_config.json
    25 Bytes
    Upload folder using huggingface_hub about 1 month ago