# TatsukichiHayama Model

## Overview

Brief description of your model and its purpose.

## Dataset

Information about the dataset used for training.

## Model Details

Details about the architecture, training parameters, and any additional information about the model.

## Evaluation

Metrics and performance on the validation/test set.

## Training

Information about the training process, optimization, and any challenges faced.

## Usage

Instructions on how to use the model for inference.

## Acknowledgments

Credit to any contributors or sources of inspiration.

## License

Apache License 2.0

## Contact

Provide contact information for inquiries or collaboration.

---

{"license": "apache-2.0", "tags": ["image-classification", "anime", "TatsukichiHayama"], "dataset": {"name": "TatsukichiHayama", "description": "A dataset for Tatsukichi Hayama containing training images.", "num_classes": 10}, "model": {"name": "TatsukichiHayamaClassifier", "tags": ["image-classification", "anime"], "language": "python", "framework": "pytorch", "version": 1.0, "task": "image-classification", "license": "apache-2.0", "inputs": [{"name": "image", "type": "image", "description": "Input image for classification", "shape": [3, 64, 64]}], "outputs": [{"name": "class_probabilities", "type": "tensor", "description": "Predicted class probabilities", "shape": [10]}]}}
image-classification anime TatsukichiHayama license:apache-2.0 region:us