Update README.md

README.md

@@ -18,7 +18,7 @@ At runtime, you must:
 ```python
 import torch
 
-from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer
+from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
 from transformers.models.qwen2_vl.image_processing_qwen2_vl_fast import smart_resize
 
 from PIL import Image
@@ -41,7 +41,7 @@ For each function call, return a json object with function name and arguments wi
 </tool_call>"""
 
 model_name = "ServiceNow/GroundNext-7B-V0"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
+
 model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
             model_name,       
             torch_dtype=torch.bfloat16,
@@ -49,7 +49,9 @@ model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
             device_map="auto",
             trust_remote_code=True
         ).eval()
+
 processor = AutoProcessor.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
 
 
 model.generation_config.temperature = TEMP