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semaj83
/
scibert_finetuned_ctmatch

Text Classification
Transformers
PyTorch
English
bert
medical
Model card Files Files and versions
xet
Community
1

Instructions to use semaj83/scibert_finetuned_ctmatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use semaj83/scibert_finetuned_ctmatch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="semaj83/scibert_finetuned_ctmatch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("semaj83/scibert_finetuned_ctmatch")
    model = AutoModelForSequenceClassification.from_pretrained("semaj83/scibert_finetuned_ctmatch")
  • Notebooks
  • Google Colab
  • Kaggle
scibert_finetuned_ctmatch
440 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
semaj83's picture
semaj83
Update README.md
0ffa86c almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    5.24 kB
    Update README.md almost 3 years ago
  • config.json
    900 Bytes
    Upload BertForSequenceClassification about 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    Upload BertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 4 files about 3 years ago
  • tokenizer_config.json
    394 Bytes
    Upload 4 files about 3 years ago
  • training_args.bin
    3.96 kB
    xet
    Upload 4 files about 3 years ago
  • vocab.txt
    228 kB
    Upload 4 files about 3 years ago