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linyi
/
e3-xbch

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

Instructions to use linyi/e3-xbch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use linyi/e3-xbch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="linyi/e3-xbch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("linyi/e3-xbch")
    model = AutoModel.from_pretrained("linyi/e3-xbch")
  • Notebooks
  • Google Colab
  • Kaggle
e3-xbch
1.18 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
peter159
First model version
f43df4b over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    78 Bytes
    First model version over 2 years ago
  • config.json
    690 Bytes
    First model version over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.18 GB
    xet
    First model version over 2 years ago
  • special_tokens_map.json
    125 Bytes
    First model version over 2 years ago
  • tokenizer_config.json
    1.33 kB
    First model version over 2 years ago
  • vocab.txt
    187 kB
    First model version over 2 years ago