Upload lighton-ocr2.py with huggingface_hub

lighton-ocr2.py

@@ -4,7 +4,6 @@
 #     "datasets>=3.1.0",
 #     "pyarrow>=17.0.0,<18.0.0",
 #     "huggingface-hub",
-#     "hf-xet",
 #     "pillow",
 #     "vllm",
 #     "tqdm",
@@ -299,9 +298,6 @@ def main(
     # Track processing start time
     start_time = datetime.now()
 
-    # Enable HF_TRANSFER for faster downloads
-    os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
-
     # Login to HF if token provided
     HF_TOKEN = hf_token or os.environ.get("HF_TOKEN")
     if HF_TOKEN:
@@ -482,8 +478,7 @@ if __name__ == "__main__":
         print("   uv run lighton-ocr2.py docs output --no-resize")
         print("\n5. Running on HF Jobs:")
         print("   hf jobs uv run --flavor l4x1 \\")
-        print("     -e HF_TOKEN=$(python3 -c \"from huggingface_hub import get_token; print(get_token())\") \\")
-        print("     -e HF_HUB_ENABLE_HF_TRANSFER=1 \\")
+        print("     -s HF_TOKEN \\")
         print("     https://huggingface.co/datasets/uv-scripts/ocr/raw/main/lighton-ocr2.py \\")
         print("       input-dataset output-dataset --batch-size 32")
         print("\n" + "=" * 80)