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digit82
/
test-model

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

Instructions to use digit82/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use digit82/test-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="digit82/test-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("digit82/test-model")
    model = AutoModelForSequenceClassification.from_pretrained("digit82/test-model")
  • Notebooks
  • Google Colab
  • Kaggle
test-model
444 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
digit82's picture
digit82
Upload BertForSequenceClassification
bd8aced over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    640 Bytes
    Upload BertForSequenceClassification over 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?

    443 MB
    xet
    Upload BertForSequenceClassification over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    752 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    523 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    248 kB
    Upload tokenizer over 3 years ago