Image Classification
Transformers
PyTorch
TensorBoard
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use douwekiela/resnet-18-finetuned-dogfood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use douwekiela/resnet-18-finetuned-dogfood with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="douwekiela/resnet-18-finetuned-dogfood") 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("douwekiela/resnet-18-finetuned-dogfood") model = AutoModelForImageClassification.from_pretrained("douwekiela/resnet-18-finetuned-dogfood", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ff7bc7e5a9faca0fbd542c73a60b4ff7e423798a0fcbd0790f0b2f45b5965b2
- Size of remote file:
- 44.8 MB
- SHA256:
- caebb7dc1733c291c9ae1ea183806e6385ad8685f1d9dec699b8a47ed2b41641
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