Switch to pure UV approach without Docker image

- Use simple 'pip install unsloth' instead of git install
- Remove Docker image from HF Jobs examples
- Cleaner, more reproducible UV script
- UV handles all dependencies from script header

iconclass-vlm-sft.py

@@ -1,9 +1,9 @@
 # /// script
 # requires-python = ">=3.11"
 # dependencies = [
+#     "unsloth",
 #     "datasets",
 #     "transformers==4.57.0",
-#     "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git",
 #     "trl==0.22.2",
 #     "huggingface-hub[hf_transfer]",
 #     "pillow",
@@ -455,10 +455,9 @@ if __name__ == "__main__":
         print("       --output-model your-username/iconclass-vlm-test \\")
         print("       --max-steps 100")
         print("\n4. Running on HF Jobs:")
-        print("   hfjobs uv run \\")
+        print("   hf jobs uv run \\")
         print("     --flavor a100-large \\")
-        print("     --image unsloth/unsloth:latest \\")
-        print("     -e HF_TOKEN=$HF_TOKEN \\")
+        print("     -s HF_TOKEN=$HF_TOKEN \\")
         print(
             "     https://huggingface.co/datasets/uv-scripts/training/raw/main/iconclass-vlm-sft.py \\"
         )

submit_training_job.py

@@ -37,7 +37,6 @@ LORA_DROPOUT = 0.1
 # Training infrastructure
 GPU_FLAVOR = "a100-large"  # Options: a100-large, a100, a10g-large
 TIMEOUT = "12h"  # Adjust based on dataset size
-DOCKER_IMAGE = "unsloth/unsloth:latest"  # Pre-configured Unsloth environment
 
 # Script location
 SCRIPT_URL = "https://huggingface.co/datasets/uv-scripts/training/raw/main/iconclass-vlm-sft.py"
@@ -125,17 +124,15 @@ def submit_training_job():
     print(f"  Dropout:       {LORA_DROPOUT}")
     print(f"\n💻 Infrastructure:")
     print(f"  GPU:           {GPU_FLAVOR}")
-    print(f"  Docker Image:  {DOCKER_IMAGE}")
     print(f"  Timeout:       {TIMEOUT}")
     print(f"\n🚀 Submitting job...")
 
-    # Submit the job using run_uv_job with Unsloth Docker image
+    # Submit the job using run_uv_job
     job = api.run_uv_job(
         script=SCRIPT_URL,  # Can also be a local path
         script_args=script_args,
-        dependencies=[],  # Unsloth image + UV handles all dependencies
+        dependencies=[],  # UV handles all dependencies from script header
         flavor=GPU_FLAVOR,
-        image=DOCKER_IMAGE,  # Use Unsloth's pre-configured Docker image
         timeout=TIMEOUT,
         env={
             "HF_HUB_ENABLE_HF_TRANSFER": "1",  # Fast downloads