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

vlm-streaming-sft-unsloth-qwen.py

@@ -300,11 +300,16 @@ def main():
     train_data = list(dataset.take(500))  # Take enough samples for training
     print(f"  Loaded {len(train_data)} samples")
 
+    # Get the actual tokenizer object (Qwen may return processor-like object)
+    actual_tokenizer = getattr(tokenizer, 'tokenizer', tokenizer)
+    print(f"  Tokenizer type: {type(tokenizer)}")
+    print(f"  Actual tokenizer type: {type(actual_tokenizer)}")
+
     trainer = SFTTrainer(
         model=model,
-        tokenizer=tokenizer,
-        data_collator=UnslothVisionDataCollator(model, tokenizer),
         train_dataset=train_data,
+        processing_class=actual_tokenizer,
+        data_collator=UnslothVisionDataCollator(model, tokenizer),
         args=training_config,
     )