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globuslabs
/
ScholarBERT

Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
science
multi-displinary
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use globuslabs/ScholarBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="globuslabs/ScholarBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("globuslabs/ScholarBERT")
    model = AutoModelForMaskedLM.from_pretrained("globuslabs/ScholarBERT")
  • Notebooks
  • Google Colab
  • Kaggle
ScholarBERT
2.84 GB
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  • 2 contributors
History: 13 commits
globuslabs's picture
globuslabs
Update README.md
4fc19b0 almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    1.74 kB
    Update README.md almost 3 years ago
  • config.json
    735 Bytes
    Add PyTorch model about 4 years ago
  • corpus_pie_chart.png
    161 kB
    Add corpus pie chart about 4 years ago
  • model.safetensors
    1.42 GB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    1.42 GB
    xet
    Add PyTorch model about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Add tokenizer about 4 years ago
  • tokenizer.json
    763 kB
    Add tokenizer about 4 years ago
  • tokenizer_config.json
    300 Bytes
    Add tokenizer about 4 years ago
  • vocab.txt
    373 kB
    Add tokenizer about 4 years ago