Upload vlm-streaming-sft-unsloth-qwen.py with huggingface_hub

vlm-streaming-sft-unsloth-qwen.py

@@ -294,11 +294,17 @@ def main():
         run_name=f"vlm-streaming-{args.max_steps}steps",
     )
 
+    # Convert streaming dataset to list (required for Qwen3-VL per Unsloth docs)
+    # "Using map kicks in dataset standardization which can be complicated"
+    print("  Converting streaming dataset to list...")
+    train_data = list(dataset.take(500))  # Take enough samples for training
+    print(f"  Loaded {len(train_data)} samples")
+
     trainer = SFTTrainer(
         model=model,
-        train_dataset=dataset,
-        processing_class=tokenizer,
+        tokenizer=tokenizer,
         data_collator=UnslothVisionDataCollator(model, tokenizer),
+        train_dataset=train_data,
         args=training_config,
     )