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viswavi
/
datafinder-scibert-nl-queries

Fill-Mask
Transformers
PyTorch
bert
feature-extraction
Model card Files Files and versions
xet
Community
1

Instructions to use viswavi/datafinder-scibert-nl-queries with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use viswavi/datafinder-scibert-nl-queries with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="viswavi/datafinder-scibert-nl-queries")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("viswavi/datafinder-scibert-nl-queries")
    model = AutoModel.from_pretrained("viswavi/datafinder-scibert-nl-queries")
  • Notebooks
  • Google Colab
  • Kaggle
datafinder-scibert-nl-queries
440 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
viswavi's picture
viswavi
Upload vocab.txt
6b0644e over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    659 Bytes
    Revise README almost 3 years ago
  • config.json
    716 Bytes
    Update HuggingFace model to be more accurate over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    Update HuggingFace model to be more accurate over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Update HuggingFace model to be more accurate over 2 years ago
  • tokenizer_config.json
    394 Bytes
    Update HuggingFace model to be more accurate over 2 years ago
  • vocab.txt
    228 kB
    Replace tarball with individual files almost 3 years ago