Visual Question Answering
Transformers
TensorBoard
Safetensors
internvl_chat
feature-extraction
custom_code
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Update README.md

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@@ -202,16 +202,16 @@ generation_config = dict(
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  )
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  # single-round single-image conversation
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- question = "请详细描述图片"
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  response = model.chat(tokenizer, pixel_values, question, generation_config)
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  print(question, response)
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  # multi-round single-image conversation
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- question = "请详细描述图片"
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=None, return_history=True)
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  print(question, response)
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- question = "请根据图片写一首诗"
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=history, return_history=True)
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  print(question, response)
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@@ -220,11 +220,11 @@ pixel_values1 = load_image('./examples/image1.jpg', max_num=6).to(torch.bfloat16
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  pixel_values2 = load_image('./examples/image2.jpg', max_num=6).to(torch.bfloat16).cuda()
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  pixel_values = torch.cat((pixel_values1, pixel_values2), dim=0)
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- question = "详细描述这两张图片"
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=None, return_history=True)
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  print(question, response)
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- question = "这两张图片的相同点和区别分别是什么"
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=history, return_history=True)
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  print(question, response)
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  )
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  # single-round single-image conversation
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+ question = "请详细描述图片" # Please describe the picture in detail
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  response = model.chat(tokenizer, pixel_values, question, generation_config)
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  print(question, response)
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  # multi-round single-image conversation
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+ question = "请详细描述图片" # Please describe the picture in detail
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=None, return_history=True)
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  print(question, response)
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+ question = "请根据图片写一首诗" # Please write a poem according to the picture
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=history, return_history=True)
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  print(question, response)
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  pixel_values2 = load_image('./examples/image2.jpg', max_num=6).to(torch.bfloat16).cuda()
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  pixel_values = torch.cat((pixel_values1, pixel_values2), dim=0)
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+ question = "详细描述这两张图片" # Describe the two pictures in detail
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=None, return_history=True)
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  print(question, response)
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+ question = "这两张图片的相同点和区别分别是什么" # What are the similarities and differences between these two pictures
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=history, return_history=True)
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  print(question, response)
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