Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Instructions to use cppgohan/resnet-50-finetuned-dog-vs-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cppgohan/resnet-50-finetuned-dog-vs-cat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cppgohan/resnet-50-finetuned-dog-vs-cat") 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("cppgohan/resnet-50-finetuned-dog-vs-cat") model = AutoModelForImageClassification.from_pretrained("cppgohan/resnet-50-finetuned-dog-vs-cat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 370ba28371c012fde054dacb3f754d1da9c652783ded9fbdc8bb520b8d065311
- Size of remote file:
- 4.92 kB
- SHA256:
- e892159a2c4fba9b27815fba984c170848f77b2b5f96f34489b8b281bbefb7fe
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