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.
