Instructions to use sakshammittal/Breedify-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use sakshammittal/Breedify-Model with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("sakshammittal/Breedify-Model") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Breedify Model
Model Description
This is a deep learning model trained for dog breed classification.
It takes an input image and predicts the breed of the dog.
The model is deployed with a Gradio interface in Breedify Space.
- Input: Dog image
- Output: Predicted breed label
Intended Use
- Educational use
- Demonstration of image classification in Hugging Face Spaces
- Can be used as an API via
api-inference.huggingface.co
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support