Upload 3 files

README.md

@@ -0,0 +1,36 @@
+---
+license: mit
+tags:
+- onnx
+- onnxruntime
+- image-classification  # or text-classification, object-detection, ner, etc.
+- your-custom-tag
+---
+
+# 🧠 Model Name
+
+This is an ONNX model for **[task]**, trained/fine-tuned using [framework/training pipeline].
+
+## 🚀 Model Details
+
+- **Task**: Image Classification
+- **Model Format**: ONNX
+- **Input Shape**: (1, 3, 224, 224)
+- **Output Shape**: (1, 1000)
+- **Framework**: ONNX Runtime
+- **Model Size**: ~XX MB
+
+## 📥 Inputs
+
+- `input`: A tensor of shape `(1, 3, 224, 224)`
+  - Typically a preprocessed image (RGB, normalized).
+
+## 📤 Outputs
+
+- `output`: A tensor of shape `(1, 1000)`
+  - Softmax scores for 1000 classes (or class logits).
+
+## 🏷️ Labels
+
+```json
+["class_0", "class_1", "class_2", "..."]

config.json

@@ -0,0 +1,10 @@
+{
+  "model_type": "onnx",
+  "framework": "onnxruntime",
+  "task": "text-classification",  // or "text-classification", "ner", etc.
+  "input_names": ["input"],
+  "output_names": ["output"],
+  "input_shape": [1, 3, 224, 224],  // update this based on your model
+  "output_shape": [1, 1000],        // update based on your model
+  "labels": ["label", "sentence"]  // optional, especially useful for classification
+}

model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfd775251d3e1e9f03e5972b2d030923607123da001eb16b03e4924d84d35506
+size 35222