Update README.md
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README.md
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@@ -37,7 +37,7 @@ messages = [
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},
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{
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"role": "user",
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"content": "Text:
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},
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{
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"role": "assistant",
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@@ -45,7 +45,7 @@ messages = [
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},
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{
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"role": "user",
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"content": "What describes
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}
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]
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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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@@ -60,7 +60,7 @@ print(outputs[0]["generated_text"])
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# <|user|>
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# What describes location in the text?</s>
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# <|assistant|>
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# ["
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```
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### Note: Inferences are based on one entity type at a time. For multiple entity types, create separate instances for each type.
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},
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{
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"role": "user",
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"content": "Text: VinBigData Joint Stock Company provides platform technology solutions and advanced products based on Big Data and Artificial Intelligence. With a staff of professors, doctors, and global technology experts, VinBigData is currently developing and deploying products such as ViVi virtual assistant, VinBase the comprehensive multi-cognitive artificial intelligence ecosystem, Vizone the ecosystem of smart image analysis solutions, VinDr the medical image digitization platform,..."
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},
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{
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"role": "assistant",
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},
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{
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"role": "user",
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"content": "What describes products in the text?"
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}
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]
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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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# <|user|>
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# What describes location in the text?</s>
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# <|assistant|>
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# ["ViVi", "VinBase", "Vizone", "VinDr"]
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```
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### Note: Inferences are based on one entity type at a time. For multiple entity types, create separate instances for each type.
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