Instructions to use Luuu01/RESNETDONE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luuu01/RESNETDONE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Luuu01/RESNETDONE") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Luuu01/RESNETDONE") model = AutoModelForImageClassification.from_pretrained("Luuu01/RESNETDONE") - Notebooks
- Google Colab
- Kaggle
Upload ResNetForImageClassification
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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{
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"architectures": [
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"ResNetForImageClassification"
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"_name_or_path": "Luuu01/RESNETDONE",
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"architectures": [
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"ResNetForImageClassification"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:618c56f023b276d28ea11c268968356e8851026e3e6e5715c2971b781113c339
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size 94318844
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