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linyi
/
ern-m-large

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

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

  • Libraries
  • Transformers

    How to use linyi/ern-m-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="linyi/ern-m-large")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("linyi/ern-m-large", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ern-m-large
2.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
linyi's picture
linyi
commit from linyi
81bf79b almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    574 Bytes
    commit from linyi almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.24 GB
    xet
    commit from linyi almost 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    commit from linyi almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    commit from linyi almost 3 years ago
  • tokenizer_config.json
    305 Bytes
    commit from linyi almost 3 years ago
  • vocab.txt
    2.83 MB
    commit from linyi almost 3 years ago