Update README.md

README.md

@@ -55,6 +55,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 query = 'Here are some frames of a video. Describe this video in detail'
 image = ['./examples/liuxiang.mp4',]
@@ -90,6 +91,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 query = 'Image1 <ImageHere>; Image2 <ImageHere>; Image3 <ImageHere>; I want to buy a car from the three given cars, analyze their advantages and weaknesses one by one'
 image = ['./examples/cars1.jpg',
@@ -132,6 +134,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 query = 'Analyze the given image in a detail manner'
 image = ['./examples/dubai.png']
@@ -162,6 +165,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 query = 'A website for Research institutions. The name is Shanghai AI lab. Top Navigation Bar is blue.Below left, an image shows the logo of the lab. In the right, there is a passage of text below that describes the mission of the laboratory.There are several images to show the research projects of Shanghai AI lab.'
 with torch.autocast(device_type='cuda', dtype=torch.float16):
@@ -187,6 +191,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 ## the input should be a resume in markdown format
 query = './examples/resume.md'
@@ -214,6 +219,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 query = 'Generate the HTML code of this web image with Tailwind CSS.'
 image = ['./examples/screenshot.jpg']
@@ -241,6 +247,7 @@ torch.set_grad_enabled(False)
 # init model and tokenizer
 model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', torch_dtype=torch.bfloat16, trust_remote_code=True).cuda().eval()
 tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
+model.tokenizer = tokenizer
 
 query = '阅读下面的材料，根据要求写作。 电影《长安三万里》的出现让人感慨，影片并未将重点全落在大唐风华上，也展现了恢弘气象的阴暗面，即旧门阀的资源垄断、朝政的日益衰败与青年才俊的壮志难酬。高适仕进无门，只能回乡>沉潜修行。李白虽得玉真公主举荐，擢入翰林，但他只是成为唐玄宗的御用文人，不能真正实现有益于朝政的志意。然而，片中高潮部分《将进酒》一节，人至中年、挂着肚腩的李白引众人乘仙鹤上天，一路从水面、瀑布飞升至银河进入仙>宫，李白狂奔着与仙人们碰杯，最后大家纵身飞向漩涡般的九重天。肉身的微贱、世路的“天生我材必有用，坎坷，拘不住精神的高蹈。“天生我材必有用，千金散尽还复来。” 古往今来，身处闲顿、遭受挫折、被病痛折磨，很多人都曾经历>了人生的“失意”，却反而成就了他们“诗意”的人生。对正在追求人生价值的当代青年来说，如何对待人生中的缺憾和困顿?诗意人生中又有怎样的自我坚守和自我认同?请结合“失意”与“诗意”这两个关键词写一篇文章。 要求:选准角度，确定>立意，明确文体，自拟标题;不要套作，不得抄袭;不得泄露个人信息;不少于 800 字。'
 with torch.autocast(device_type='cuda', dtype=torch.float16):