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feradauto
/
scibert_nlp4sg

Text Classification
Transformers
PyTorch
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use feradauto/scibert_nlp4sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use feradauto/scibert_nlp4sg with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="feradauto/scibert_nlp4sg")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("feradauto/scibert_nlp4sg")
    model = AutoModelForSequenceClassification.from_pretrained("feradauto/scibert_nlp4sg")
  • Notebooks
  • Google Colab
  • Kaggle
scibert_nlp4sg
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  • 1 contributor
History: 9 commits
feradauto's picture
feradauto
update model card
4c4a565 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.72 kB
    update model card almost 3 years ago
  • config.json
    766 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 tokenizer about 3 years ago
  • tokenizer.json
    717 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    389 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    228 kB
    Upload tokenizer about 3 years ago