Image Classification
Transformers
Safetensors
vit
Generated from Trainer
cat
animal-health
animalmind
Eval Results (legacy)
Instructions to use firstoff/animalmind-cat-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firstoff/animalmind-cat-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="firstoff/animalmind-cat-classifier") 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("firstoff/animalmind-cat-classifier") model = AutoModelForImageClassification.from_pretrained("firstoff/animalmind-cat-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29bbed807ce6060413b0bd3efbd127fe4b543a88d7c2f8b322309d54b2737027
- Size of remote file:
- 5.2 kB
- SHA256:
- f949609cc34a588535249373ea17a69b5517e5d1230a8b1f5c6f6f6c6d08f66d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.