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oeg
/
SciBERT-Repository-Proposal

Text Classification
Transformers
Safetensors
English
bert
English
RoBERTa-base
Text Classification
Model card Files Files and versions
xet
Community

Instructions to use oeg/SciBERT-Repository-Proposal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use oeg/SciBERT-Repository-Proposal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="oeg/SciBERT-Repository-Proposal")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("oeg/SciBERT-Repository-Proposal")
    model = AutoModelForSequenceClassification.from_pretrained("oeg/SciBERT-Repository-Proposal")
  • Notebooks
  • Google Colab
  • Kaggle
SciBERT-Repository-Proposal
440 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
StankovskiA's picture
StankovskiA
Upload 2 files
c37a42f verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.09 kB
    Create README.md about 2 years ago
  • config.json
    707 Bytes
    Upload 2 files about 2 years ago
  • model.safetensors
    440 MB
    xet
    Upload 2 files about 2 years ago