Pruddie/kikuyu-resnet50-onnx
By Pruddie · ↓ 0 · ♥ 0 · Updated 2025-10-13
What's in this repo
This page lists the files in Pruddie/kikuyu-resnet50-onnx, including kikuyu_resnet50_finetuned.onnx.
- 1 ONNX models (.onnx files)
- 7 files, including 1 .md, 1 .py, 1 .json, 1 .onnx, 1 .txt
- Last updated 2025-10-13
ONNX files
| File | Size | Download |
|---|---|---|
| kikuyu_resnet50_finetuned.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Kikuyu ResNet50 Fine-tuned Model
This model is a fine-tuned ResNet50 image classification model trained on Kikuyu cultural images (e.g., initiation, ceremonies, and traditional wear).
🧠 Model Details
- Base Model: ResNet50 (ImageNet pre-trained)
- Framework: TensorFlow → converted to ONNX
- Input size: 224x224 RGB
- Output: Probability distribution over cultural categories
🚀 How to Use
You can use this model with the Hugging Face Inference API:
from huggingface_hub import InferenceClient
client = InferenceClient("Pruddie/kikuyu-resnet50-onnx")
image_path = "sample.jpg"
with open(image_path, "rb") as f:
result = client.post("/predict", files={"image": f})
print(result.json())
Files (7)
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