add yi-vl

src/llmtuner/train/sft/workflow.py

@@ -30,6 +30,7 @@ def run_sft(
 ):
     tokenizer_module = load_tokenizer(model_args)
     tokenizer = tokenizer_module["tokenizer"]
+    processor = tokenizer_module["processor"]
     dataset = get_dataset(model_args, data_args, training_args, stage="sft", **tokenizer_module)
     model = load_model(tokenizer, model_args, finetuning_args, training_args.do_train)
 
@@ -55,6 +56,7 @@ def run_sft(
         model=model,
         args=training_args,
         finetuning_args=finetuning_args,
+        processor=processor,
         tokenizer=tokenizer,
         data_collator=data_collator,
         callbacks=callbacks,