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Ensheng
/
coco

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

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

  • Libraries
  • Transformers

    How to use Ensheng/coco with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Ensheng/coco")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Ensheng/coco")
    model = AutoModel.from_pretrained("Ensheng/coco")
  • Notebooks
  • Google Colab
  • Kaggle
coco
505 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Ensheng's picture
Ensheng
commit from Ensheng
f929321 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • added_tokens.json
    941 Bytes
    commit from Ensheng almost 4 years ago
  • config.json
    738 Bytes
    commit from Ensheng almost 4 years ago
  • merges.txt
    444 kB
    commit from Ensheng almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    504 MB
    xet
    commit from Ensheng almost 4 years ago
  • special_tokens_map.json
    1.67 kB
    commit from Ensheng almost 4 years ago
  • tokenizer_config.json
    1.13 kB
    commit from Ensheng almost 4 years ago
  • vocab.json
    938 kB
    commit from Ensheng almost 4 years ago