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uclanlp
/
scibart-large

Feature Extraction
Transformers
PyTorch
bart
Model card Files Files and versions
xet
Community
1

Instructions to use uclanlp/scibart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uclanlp/scibart-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="uclanlp/scibart-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("uclanlp/scibart-large")
    model = AutoModel.from_pretrained("uclanlp/scibart-large")
  • Notebooks
  • Google Colab
  • Kaggle
scibart-large
1.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
xiaowu0162's picture
xiaowu0162
Update README.md
ea26532 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.16 kB
    Update README.md about 3 years ago
  • config.json
    1.21 kB
    Upload 5 files about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.54 GB
    xet
    Upload 5 files about 3 years ago
  • sentencepiece.bpe.model
    751 kB
    xet
    Upload 5 files about 3 years ago
  • special_tokens_map.json
    238 Bytes
    Upload 5 files about 3 years ago
  • tokenizer_config.json
    359 Bytes
    Upload 5 files about 3 years ago