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chaichy
/
gbert-CTA-w-synth

Text Classification
Transformers
Safetensors
German
bert
political-communication
social-science
synthetic-data
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use chaichy/gbert-CTA-w-synth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chaichy/gbert-CTA-w-synth with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="chaichy/gbert-CTA-w-synth")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("chaichy/gbert-CTA-w-synth")
    model = AutoModelForSequenceClassification.from_pretrained("chaichy/gbert-CTA-w-synth")
  • Notebooks
  • Google Colab
  • Kaggle
gbert-CTA-w-synth
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  • 1 contributor
History: 9 commits
chaichy's picture
chaichy
Update README.md
ab5aa7f verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.37 kB
    Update README.md over 1 year ago
  • config.json
    992 Bytes
    Update config.json almost 2 years ago
  • model.safetensors
    1.34 GB
    xet
    Upload BertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    729 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.26 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    240 kB
    Upload tokenizer almost 2 years ago