| | --- |
| | library_name: onnx |
| | pipeline_tag: image-classification |
| | --- |
| | |
| | # CIFAR-10 Classifier |
| |
|
| | This is a CIFAR-10 image classification model trained using PyTorch and exported to ONNX format. |
| |
|
| | ## Usage |
| |
|
| | You can use this model via the Hugging Face Inference API. |
| |
|
| | ### Python Example |
| |
|
| | ```python |
| | import requests |
| | |
| | API_URL = "https://api-inference.huggingface.co/models/mramjad/cifar10-classifier" |
| | headers = {"Authorization": "Bearer <your-api-token>"} |
| | |
| | def query(image_path): |
| | with open(image_path, "rb") as file: |
| | response = requests.post(API_URL, headers=headers, files={"file": file}) |
| | return response.json() |
| | |
| | result = query("path/to/your/image.jpg") |
| | print(result) |
