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Southstreamer
/
design_extractor

Text Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Southstreamer/design_extractor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Southstreamer/design_extractor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Southstreamer/design_extractor")
    model = AutoModelForSequenceClassification.from_pretrained("Southstreamer/design_extractor")
  • Notebooks
  • Google Colab
  • Kaggle
design_extractor
263 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Southstreamer's picture
Southstreamer
Base model changed to DistilBert and trained on complete dataset
f2d2c81 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • .gitignore
    10 Bytes
    Base model changed to DistilBert and trained on complete dataset over 2 years ago
  • README.md
    277 Bytes
    Base model changed to DistilBert and trained on complete dataset over 2 years ago
  • config.json
    972 Bytes
    Base model changed to DistilBert and trained on complete dataset over 2 years ago
  • model.safetensors
    263 MB
    xet
    Base model changed to DistilBert and trained on complete dataset over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Base model changed to DistilBert and trained on complete dataset over 2 years ago
  • tokenizer_config.json
    1.25 kB
    Base model changed to DistilBert and trained on complete dataset over 2 years ago
  • vocab.txt
    213 kB
    Initial commit over 2 years ago