Create README.md

README.md

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+---
+language:
+- en
+library_name: ultralytics
+pipeline_tag: image-classification
+tags:
+- action
+---
+
+## How to Use
+
+To use this model in your project, follow the steps below:
+
+### 1. Installation
+
+Ensure you have the `ultralytics` library installed, which is used for YOLO models:
+
+```bash
+pip install ultralytics
+```
+
+### 2. Load the Model
+
+You can load the model and perform detection on an image as follows:
+```python
+from ultralytics import YOLO
+
+# Load the model
+model = YOLO("./action-11x.pt")
+
+# Perform detection on an image
+results = model("image.png")
+
+# Display or process the results
+results.show()  # This will display the image with detected objects
+```
+
+### 3. Model Inference
+The results object contains bounding boxes, labels (e.g., numbers or operators), and confidence scores for each detected object.
+
+Access them like this:
+
+```python
+# View results
+for r in results:
+    print(r.probs)  # print the Probs object containing the detected class probabilities
+```
+
+![](result.png)