raytune rest

src/paddle_ocr/README.md

@@ -520,6 +520,28 @@ docker load < paddle-ocr-arm64.tar.gz
 
 ## Using with Ray Tune
 
+### Multi-Worker Setup for Parallel Trials
+
+Run multiple workers for parallel hyperparameter tuning:
+
+```bash
+cd src/paddle_ocr
+
+# Start 2 CPU workers (ports 8001-8002)
+sudo docker compose -f docker-compose.workers.yml --profile cpu up -d
+
+# Or for GPU workers (if supported)
+sudo docker compose -f docker-compose.workers.yml --profile gpu up -d
+
+# Check workers are healthy
+curl http://localhost:8001/health
+curl http://localhost:8002/health
+```
+
+Then run the notebook with `max_concurrent_trials=2` to use both workers in parallel.
+
+### Single Worker Setup
+
 Update your notebook's `trainable_paddle_ocr` function:
 
 ```python