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sdinger
/
dummy-model

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use sdinger/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sdinger/dummy-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sdinger/dummy-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sdinger/dummy-model")
    model = AutoModelForSequenceClassification.from_pretrained("sdinger/dummy-model")
  • Notebooks
  • Google Colab
  • Kaggle
dummy-model
439 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
sdinger's picture
sdinger
Upload tokenizer
ec6b192 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    678 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    314 Bytes
    Upload tokenizer over 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 2 years ago