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YCZhou
/
R2ANKER

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use YCZhou/R2ANKER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YCZhou/R2ANKER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="YCZhou/R2ANKER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("YCZhou/R2ANKER")
    model = AutoModelForSequenceClassification.from_pretrained("YCZhou/R2ANKER")
  • Notebooks
  • Google Colab
  • Kaggle
R2ANKER
439 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
YCZhou's picture
YCZhou
Update README.md
5a49de1 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    2.08 kB
    Update README.md over 2 years ago
  • config.json
    819 Bytes
    update almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    update almost 3 years ago
  • special_tokens_map.json
    112 Bytes
    update almost 3 years ago
  • tokenizer.json
    466 kB
    update almost 3 years ago
  • tokenizer_config.json
    377 Bytes
    update almost 3 years ago
  • vocab.txt
    232 kB
    update almost 3 years ago