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jamesmullenbach
/
CLIP_DNote_BERT_Context

Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use jamesmullenbach/CLIP_DNote_BERT_Context with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jamesmullenbach/CLIP_DNote_BERT_Context", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CLIP_DNote_BERT_Context
867 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
James Mullenbach
add label thresholds
035ae24 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • config.json
    628 Bytes
    commit from jamesmullenbach almost 5 years ago
  • label_threshs.npy
    184 Bytes
    add label thresholds almost 5 years ago
  • pytorch_model.bin
    433 MB
    xet
    commit from jamesmullenbach almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add clinicalbert tokenizer almost 5 years ago
  • tokenizer_config.json
    392 Bytes
    add clinicalbert tokenizer almost 5 years ago
  • torch_loadable.pth

    Detected Pickle imports (3)

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

    What is a pickle import?

    433 MB
    xet
    add model that can be loaded with just torch.load almost 5 years ago
  • vocab.txt
    213 kB
    add clinicalbert tokenizer almost 5 years ago