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vsocrates
/
incar-status-any

Text Classification
Transformers
PyTorch
English
longformer
medical
Model card Files Files and versions
xet
Community
1

Instructions to use vsocrates/incar-status-any with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vsocrates/incar-status-any with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vsocrates/incar-status-any")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vsocrates/incar-status-any")
    model = AutoModelForSequenceClassification.from_pretrained("vsocrates/incar-status-any")
  • Notebooks
  • Google Colab
  • Kaggle
incar-status-any
598 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
vsocrates's picture
vsocrates
update example titles
5959326 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.81 kB
    update example titles about 2 years ago
  • config.json
    1.13 kB
    add model about 2 years ago
  • merges.txt
    456 kB
    add tokenizer about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    595 MB
    xet
    add model about 2 years ago
  • special_tokens_map.json
    280 Bytes
    add tokenizer about 2 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer about 2 years ago
  • tokenizer_config.json
    399 Bytes
    add tokenizer about 2 years ago
  • vocab.json
    798 kB
    add tokenizer about 2 years ago