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aicast
/
bert_finetuning_test

Text Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use aicast/bert_finetuning_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aicast/bert_finetuning_test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aicast/bert_finetuning_test")
    model = AutoModelForSequenceClassification.from_pretrained("aicast/bert_finetuning_test")
  • Notebooks
  • Google Colab
  • Kaggle
bert_finetuning_test
876 MB
Ctrl+K
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  • 1 contributor
History: 14 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
43de0e5 about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • config.json
    476 Bytes
    Update config.json about 6 years ago
  • eval_results_mrpc.txt
    106 Bytes
    Update eval_results_mrpc.txt about 6 years ago
  • flax_model.msgpack
    438 MB
    xet
    upload flax model about 5 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
    Update pytorch_model.bin about 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json about 6 years ago