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KM4STfulltext
/
CSSCI_ABS_BERT

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

Instructions to use KM4STfulltext/CSSCI_ABS_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KM4STfulltext/CSSCI_ABS_BERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="KM4STfulltext/CSSCI_ABS_BERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/CSSCI_ABS_BERT")
    model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/CSSCI_ABS_BERT")
  • Notebooks
  • Google Colab
  • Kaggle
CSSCI_ABS_BERT
819 MB
Ctrl+K
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  • 3 contributors
History: 13 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f5a34e0 about 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    7.68 kB
    Create README.md almost 4 years ago
  • config.json
    848 Bytes
    commit from turning almost 4 years ago
  • model.safetensors
    409 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    409 MB
    xet
    commit from turning almost 4 years ago
  • vocab.txt
    110 kB
    commit from turning almost 4 years ago