Instructions to use JbIPS/DogRace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use JbIPS/DogRace 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("JbIPS/DogRace") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
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by Wauplin HF Staff - opened
README.md
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language:
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- en
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- fr
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license: mit
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tags:
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- image-classification
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- keras
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- tf
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metrics:
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- accuracy
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---
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This model predicts the breed of the dog on the photo. It has been trained on the Stanford Dogs Dataset.
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language:
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- en
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- fr
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library_name: tf-keras
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license: mit
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metrics:
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- accuracy
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tags:
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- image-classification
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- tf
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---
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This model predicts the breed of the dog on the photo. It has been trained on the Stanford Dogs Dataset.
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