Instructions to use vansin/resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vansin/resnet18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vansin/resnet18")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vansin/resnet18", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0f4f392188871fc3d4cf6a059da6b13d4fe78b6d3ac08b6fd57fdf368f7bba3
- Size of remote file:
- 46.9 MB
- SHA256:
- fbbb1da6f944320f7b258ea8cec1f4ad831ba7bcf51e0eb4e381ad7860d05b12
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