Instructions to use RavenKR/horseVsHuman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use RavenKR/horseVsHuman 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("RavenKR/horseVsHuman") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Horse or Human Classifier
This model classifies images as either "Horse" or "Human." It uses transfer learning with the InceptionV3 architecture to accurately distinguish between these two categories.
Description
The Horse or Human model was trained on a dataset containing images of horses and humans. Using transfer learning, the model leverages pre-trained weights from the InceptionV3 architecture, allowing it to recognize complex features in the images. The dataset consists of images from diverse sources, ensuring better generalization.
How to Use
To use the model for image classification, you can follow these steps:
- Install the
transformerslibrary if you haven't already:pip install transformers
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