update readme

README.md

@@ -26,15 +26,10 @@ Perfect for:
 ## 🚀 Quick Example
 
 ```bash
-# Extract text from images with state-of-the-art OCR
-uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
-  your-image-dataset \
-  your-extracted-text
-
-# Or run on GPU with HF Jobs (no local GPU needed!)
+# Extract text from images with state-of-the-art OCR (no local GPU needed!)
 hf jobs uv run --flavor l4x1 \
   https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
-  your-images your-text
+  your-images your-extracted-text
 ```
 
 ## 📚 Browse Scripts
@@ -64,7 +59,8 @@ Extract text from images with state-of-the-art accuracy:
 
 ```bash
 # Handles LaTeX, tables, forms, handwriting
-uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
+hf jobs uv run --flavor l4x1 \
+  https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
   your-images extracted-text
 ```
 
@@ -74,40 +70,26 @@ Text classification that always returns valid labels:
 
 ```bash
 # Uses vLLM's structured generation - no invalid outputs!
-uv run https://huggingface.co/datasets/uv-scripts/classification/raw/main/classify-dataset.py \
+hf jobs uv run --flavor l4x1 \
+  https://huggingface.co/datasets/uv-scripts/classification/raw/main/classify-dataset.py \
   --input-dataset imdb --column text \
   --labels "positive,negative" --output-dataset imdb-classified
 ```
 
-## 🚀 Getting Started
-
-1. **Install UV** (one-time setup):
-
-   ```bash
-   curl -LsSf https://astral.sh/uv/install.sh | sh
-   ```
-
-2. **Run any script**:
+## 🚀 Getting Started with HF Jobs
 
-   ```bash
-   uv run https://huggingface.co/datasets/uv-scripts/[collection]/raw/main/[script].py
-   ```
+Run any UV script on GPU infrastructure:
 
-3. **Or use HF Jobs** (no local GPU needed):
-   ```bash
-   hf jobs uv run --flavor l4x1 [script-url] [args]
-   ```
-
-## 🤝 Contributing
-
-We welcome scripts that:
-
-- Solve real ML problems
-- Include clear documentation
-- Follow UV best practices
-- Work on both local and cloud
+```bash
+hf jobs uv run --flavor l4x1 \
+  https://huggingface.co/datasets/uv-scripts/[collection]/raw/main/[script].py \
+  [args]
+```
 
-Submit your scripts as PRs to the relevant collection or propose a new collection!
+Choose your GPU flavor:
+- `l4x1` - Good balance for most tasks
+- `a10g-large` - More memory for larger models
+- `a100-large` - Maximum performance
 
 ## 📖 Learn More