update readme example

README.md

@@ -16,16 +16,16 @@ pipeline_tag: visual-question-answering
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("/path/to/kangaroo")
+tokenizer = AutoTokenizer.from_pretrained("KangarooGroup/kangaroo")
 model = AutoModelForCausalLM.from_pretrained(
-    "/path/to/kangaroo",
+    "KangarooGroup/kangaroo",
     torch_dtype=torch.bfloat16,
     trust_remote_code=True,
 )
 model = model.to("cuda")
 terminators = [tokenizer.eos_token_id, tokenizer.convert_tokens_to_ids("<|eot_id|>")]
 
-video_path = "path/to/video"
+video_path = "/path/to/video"
 query = "Please describe this video"
 out, history = model.chat(video_path=video_path,
                           query=query,