Instructions to use Filimize/Dog_Breed_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Filimize/Dog_Breed_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Filimize/Dog_Breed_Classification") 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("Filimize/Dog_Breed_Classification") model = AutoModelForImageClassification.from_pretrained("Filimize/Dog_Breed_Classification") - Notebooks
- Google Colab
- Kaggle
File size: 556 Bytes
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tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: Dog_Breed_Classification
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9552238583564758
---
# Dog_Breed_Classification
## Example Images
#### english bulldog

#### saint bernard

#### siberian husky
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