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Contrastive-Tension
/
BERT-Base-CT

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use Contrastive-Tension/BERT-Base-CT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Contrastive-Tension/BERT-Base-CT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Contrastive-Tension/BERT-Base-CT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Contrastive-Tension/BERT-Base-CT")
    model = AutoModelForMaskedLM.from_pretrained("Contrastive-Tension/BERT-Base-CT")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-Base-CT
1.31 GB
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  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
f1cafce almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • config.json
    549 Bytes
    Main Commit about 5 years ago
  • flax_model.msgpack
    438 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Main Commit about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Main Commit about 5 years ago
  • tf_model.h5
    438 MB
    xet
    Main Commit about 5 years ago
  • tokenizer_config.json
    252 Bytes
    Main Commit about 5 years ago
  • vocab.txt
    232 kB
    Main Commit about 5 years ago