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mooneyko
/
puzzle_painting

Feature Extraction
Transformers
PyTorch
clip_text_model
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use mooneyko/puzzle_painting with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mooneyko/puzzle_painting")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("mooneyko/puzzle_painting")
    model = AutoModel.from_pretrained("mooneyko/puzzle_painting")
  • Notebooks
  • Google Colab
  • Kaggle
puzzle_painting
494 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
mooneyko's picture
mooneyko
Upload model
7f94f53 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • added_tokens.json
    89 Bytes
    Upload tokenizer about 3 years ago
  • config.json
    607 Bytes
    Upload model about 3 years ago
  • merges.txt
    525 kB
    Upload tokenizer about 3 years ago
  • pytorch_model.bin
    492 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    472 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    801 Bytes
    Upload tokenizer about 3 years ago
  • vocab.json
    1.06 MB
    Upload tokenizer about 3 years ago