Improve README with UV context and clarify BERT-style models

README.md

@@ -5,13 +5,17 @@ tags: [uv-script, vllm, gpu, inference]
 
 # vLLM Inference Scripts
 
-Ready-to-run scripts for GPU-accelerated inference using [vLLM](https://github.com/vllm-project/vllm).
+Ready-to-run UV scripts for GPU-accelerated inference using [vLLM](https://github.com/vllm-project/vllm).
+
+These scripts use [UV's inline script metadata](https://docs.astral.sh/uv/guides/scripts/) to automatically manage dependencies - just run with `uv run` and everything installs automatically!
 
 ## 📋 Available Scripts
 
 ### classify-dataset.py
 
-Batch text classification using BERT-style models with vLLM's optimized inference engine.
+Batch text classification using BERT-style encoder models (e.g., BERT, RoBERTa, DeBERTa, ModernBERT) with vLLM's optimized inference engine.
+
+**Note**: This script is specifically for encoder-only classification models, not generative LLMs.
 
 **Features:**
 - 🚀 High-throughput batch processing
@@ -53,7 +57,7 @@ hfjobs run \
 All scripts in this collection require:
 - **NVIDIA GPU** with CUDA support
 - **Python 3.10+**
-- **UV package manager** (auto-installed via script)
+- **UV package manager** ([install UV](https://docs.astral.sh/uv/getting-started/installation/))
 
 ## 🚀 Performance Tips
 
@@ -76,14 +80,25 @@ vLLM is a high-throughput inference engine optimized for:
 
 ## 🔧 Technical Details
 
+### UV Script Benefits
+- **Zero setup**: Dependencies install automatically on first run
+- **Reproducible**: Locked dependencies ensure consistent behavior
+- **Self-contained**: Everything needed is in the script file
+- **Direct execution**: Run from local files or URLs
+
 ### Dependencies
-Scripts use vLLM's nightly builds and FlashInfer for optimal performance:
+Scripts use UV's inline metadata with custom package indexes for vLLM's optimized builds:
 ```python
+# /// script
+# requires-python = ">=3.10"
+# dependencies = ["vllm", "datasets", "torch", ...]
+# 
 # [[tool.uv.index]]
 # url = "https://flashinfer.ai/whl/cu126/torch2.6"
 # 
 # [[tool.uv.index]]
 # url = "https://wheels.vllm.ai/nightly"
+# ///
 ```
 
 ### Docker Image
@@ -106,5 +121,5 @@ Have a vLLM script to share? We welcome contributions that:
 ## 🔗 Resources
 
 - [vLLM Documentation](https://docs.vllm.ai/)
-- [HF Jobs Guide](https://huggingface.co/docs/hub/spaces-gpu-jobs)
+- [UV Documentation](https://docs.astral.sh/uv/)
 - [UV Scripts Organization](https://huggingface.co/uv-scripts)