Instructions to use glasses/resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glasses/resnet50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="glasses/resnet50") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("glasses/resnet50", dtype="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +1 -0
- pytorch_model.bin +3 -0
config.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a3144e78fd40f25a711663ec6c7ae34bf4bf606ce5768c95fc70fc96c9c3895
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size 102561135
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