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ammonbro
/
clip650r-epoch4

Feature Extraction
Transformers
Safetensors
vision-text-dual-encoder
Model card Files Files and versions
xet
Community

Instructions to use ammonbro/clip650r-epoch4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ammonbro/clip650r-epoch4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ammonbro/clip650r-epoch4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("ammonbro/clip650r-epoch4")
    model = AutoModelForMultimodalLM.from_pretrained("ammonbro/clip650r-epoch4")
  • Notebooks
  • Google Colab
  • Kaggle
clip650r-epoch4
788 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ammonbro's picture
ammonbro
Update README.md
1d524e5 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.3 kB
    Update README.md 6 months ago
  • config.json
    74.7 kB
    Upload model 6 months ago
  • model.safetensors
    787 MB
    xet
    Upload model 6 months ago
  • preprocessor_config.json
    660 Bytes
    Upload processor 6 months ago
  • special_tokens_map.json
    695 Bytes
    Upload processor 6 months ago
  • tokenizer.json
    711 kB
    Upload processor 6 months ago
  • tokenizer_config.json
    1.28 kB
    Upload processor 6 months ago
  • vocab.txt
    232 kB
    Upload processor 6 months ago