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lens-ai
/
clip-vit-base-patch32_pcam_finetuned

Feature Extraction
Transformers
Safetensors
clip_vision_model
vision
clip
fine-tuned
PatchCamelyon
medical-imaging
Model card Files Files and versions
xet
Community

Instructions to use lens-ai/clip-vit-base-patch32_pcam_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lens-ai/clip-vit-base-patch32_pcam_finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="lens-ai/clip-vit-base-patch32_pcam_finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("lens-ai/clip-vit-base-patch32_pcam_finetuned")
    model = AutoModel.from_pretrained("lens-ai/clip-vit-base-patch32_pcam_finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
clip-vit-base-patch32_pcam_finetuned
700 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Venkatasatya's picture
Venkatasatya
Fix YAML metadata in model card
b9419bc over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.89 kB
    Fix YAML metadata in model card over 1 year ago
  • config.json
    550 Bytes
    updated read me and json files. over 1 year ago
  • model.pt

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    350 MB
    xet
    Added Finetuned model. over 1 year ago
  • model.safetensors
    350 MB
    xet
    Added Finetuned model. over 1 year ago