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Ramos-Ramos
/
distillclip

Transformers
Safetensors
clip
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Ramos-Ramos/distillclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ramos-Ramos/distillclip with Transformers:

    # Load model directly
    from transformers import AutoProcessor, CLIPForOfflineDistillation
    
    processor = AutoProcessor.from_pretrained("Ramos-Ramos/distillclip")
    model = CLIPForOfflineDistillation.from_pretrained("Ramos-Ramos/distillclip")
  • Notebooks
  • Google Colab
  • Kaggle
distillclip
268 MB
Ctrl+K
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  • 1 contributor
History: 73 commits
patrickramos's picture
patrickramos
Update README.md
7ca96c3 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 3 years ago
  • README.md
    7.52 kB
    Update README.md almost 3 years ago
  • config.json
    4.56 kB
    Training in progress, step 500 almost 3 years ago
  • distillclip_overview.svg
    144 kB
    Upload distillclip_overview.svg almost 3 years ago
  • merges.txt
    525 kB
    Training in progress, step 500 almost 3 years ago
  • model.safetensors
    265 MB
    xet
    distillclip-different-moon-37 almost 3 years ago
  • preprocessor_config.json
    556 Bytes
    Training in progress, step 500 almost 3 years ago
  • special_tokens_map.json
    472 Bytes
    Training in progress, step 500 almost 3 years ago
  • tokenizer.json
    2.22 MB
    Training in progress, step 500 almost 3 years ago
  • tokenizer_config.json
    775 Bytes
    Training in progress, step 500 almost 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, step 15500 almost 3 years ago
  • vocab.json
    862 kB
    Training in progress, step 500 almost 3 years ago