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hypha-space
/
lenet

Image Classification
Transformers
Safetensors
lenet
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use hypha-space/lenet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hypha-space/lenet", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("hypha-space/lenet", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lenet
258 kB
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  • 1 contributor
History: 5 commits
l45k's picture
l45k
Upload processor
9bd9cdc verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload 6 files 6 months ago
  • config.json
    314 Bytes
    Upload 6 files 6 months ago
  • configuration_lenet.py
    199 Bytes
    Upload 6 files 6 months ago
  • model.safetensors
    248 kB
    xet
    Upload model.safetensors 6 months ago
  • modeling_lenet.py
    1.88 kB
    Upload 6 files 6 months ago
  • preprocessor_config.json
    130 Bytes
    Upload processor 5 months ago
  • preprocessor_lenet.py
    1.11 kB
    Upload processor 5 months ago