README.md

metadata

tags:
  - image-classification
  - biology
library_name: pytorch
license: mit

Speyeria Classifier

This repository contains a ResNet-50 based PyTorch classifier for identifying Speyeria species from images.

Labels

The model predicts the following species (short labels are used in config.json):

• S. adiaste
• S. aphrodite
• S. atlantis
• S. callippe
• S. carolae
• S. coronis
• S. cybele
• S. diana
• S. edwardsii
• S. egleis
• S. hesperis
• S. hydaspe
• S. idalia
• S. mormonia
• S. nokomis
• S. zerene

Usage

Use model.py to instantiate the architecture and load weights:

from safetensors.torch import load_file
from model import create_model

model = create_model(num_classes=16)
state_dict = load_file("model.safetensors")
model.load_state_dict(state_dict)
model.eval()

Notes

• config.json contains id2label/label2id mappings.
• Weights are stored in .safetensors format for safer deserialization.