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Everlyn
/
transformer_base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
mbart
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use Everlyn/transformer_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Everlyn/transformer_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Everlyn/transformer_base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Everlyn/transformer_base")
    model = AutoModel.from_pretrained("Everlyn/transformer_base")
  • Notebooks
  • Google Colab
  • Kaggle
transformer_base
282 MB
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  • 1 contributor
History: 5 commits
Everlyn's picture
Everlyn
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75b313f over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    896 Bytes
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  • config.json
    755 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    282 MB
    xet
    Upload model over 3 years ago
  • tf_model.h5
    7.26 kB
    xet
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