Instructions to use aaa12963337/msi-resnet18-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaa12963337/msi-resnet18-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aaa12963337/msi-resnet18-pretrain") 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("aaa12963337/msi-resnet18-pretrain") model = AutoModelForImageClassification.from_pretrained("aaa12963337/msi-resnet18-pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 337b0229876b9dd1e080eecd7a32480d6fd31037eb9ae42f6b8566471e84d83b
- Size of remote file:
- 4.16 kB
- SHA256:
- 262cd3b61db9c73d51e91b11217916f8470126ebc65dcba45f475b9d64967927
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