khang119966 commited on
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Update README.md

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  1. README.md +6 -4
README.md CHANGED
@@ -178,19 +178,21 @@ def load_image(image_file, input_size=448, max_num=12):
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  return pixel_values
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  model = AutoModel.from_pretrained(
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- "5CD-AI/Vintern-1B-v2",
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  torch_dtype=torch.bfloat16,
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  low_cpu_mem_usage=True,
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  trust_remote_code=True,
 
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  ).eval().cuda()
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- tokenizer = AutoTokenizer.from_pretrained("5CD-AI/Vintern-1B-v2", trust_remote_code=True, use_fast=False)
 
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  test_image = 'test-image.jpg'
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- pixel_values = load_image(test_image, max_num=12).to(torch.bfloat16).cuda()
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  generation_config = dict(max_new_tokens= 1024, do_sample=False, num_beams = 3, repetition_penalty=2.5)
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- question = '<image>\nMô tả hình ảnh một cách chi tiết.'
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=None, return_history=True)
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  print(f'User: {question}\nAssistant: {response}')
 
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  return pixel_values
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  model = AutoModel.from_pretrained(
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+ "5CD-AI/Vintern-1B-v3_5",
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  torch_dtype=torch.bfloat16,
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  low_cpu_mem_usage=True,
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  trust_remote_code=True,
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+ use_flash_attn=False,
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  ).eval().cuda()
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+
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+ tokenizer = AutoTokenizer.from_pretrained("5CD-AI/Vintern-1B-v3_5", trust_remote_code=True, use_fast=False)
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  test_image = 'test-image.jpg'
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+ pixel_values = load_image(test_image, max_num=6).to(torch.bfloat16).cuda()
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  generation_config = dict(max_new_tokens= 1024, do_sample=False, num_beams = 3, repetition_penalty=2.5)
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+ question = '<image>\nTrích xuất thông tin chính trong ảnh trả về dạng markdown.'
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  response, history = model.chat(tokenizer, pixel_values, question, generation_config, history=None, return_history=True)
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  print(f'User: {question}\nAssistant: {response}')