Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

bilbo991
/
clip-mixer-300k

Feature Extraction
Transformers
PyTorch
TensorBoard
vision-text-dual-encoder
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use bilbo991/clip-mixer-300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bilbo991/clip-mixer-300k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="bilbo991/clip-mixer-300k")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("bilbo991/clip-mixer-300k")
    model = AutoModel.from_pretrained("bilbo991/clip-mixer-300k", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
clip-mixer-300k / runs
18.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
bilbo991's picture
bilbo991
End of training
5fdcb7d almost 3 years ago
  • Aug16_14-43-59_cvrl-flynn-ws2
    End of training almost 3 years ago