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

Shunchang
/
SmolVLM-Base-condition-condition

Transformers
TensorBoard
Safetensors
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Shunchang/SmolVLM-Base-condition-condition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shunchang/SmolVLM-Base-condition-condition with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Shunchang/SmolVLM-Base-condition-condition", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SmolVLM-Base-condition-condition
21.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Shunchang's picture
Shunchang
End of training
797fc0e verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.32 kB
    End of training over 1 year ago
  • adapter_config.json
    987 Bytes
    End of training over 1 year ago
  • adapter_model.safetensors
    21.1 MB
    xet
    End of training over 1 year ago
  • generation_config.json
    132 Bytes
    End of training over 1 year ago
  • training_args.bin
    5.37 kB
    xet
    End of training over 1 year ago