Update README.md
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README.md
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@@ -51,16 +51,16 @@ messages = [
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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipe(prompt, max_new_tokens=256, do_sample=False)
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print(outputs[0]["generated_text"])
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#A virtual assistant answers questions from a user based on the provided text.</s>
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#Text: The American Bank Note Company Printing Plant is a repurposed complex of three interconnected buildings in the Hunts Point neighborhood of the Bronx in New York City. The innovative Kirby, Petit & Green design was built in 1909–1911 by the American Bank Note Company on land which had previously been part of Edward G. Faile's country estate. A wide variety of financial instruments were printed there; at one point, over five million documents were produced per day, including half the securities traded on the New York Stock Exchange.</s>
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#I've read this text.</s>
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#What describes location in the text?</s>
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#["Hunts Point", "Bronx", "New York City"]
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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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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipe(prompt, max_new_tokens=256, do_sample=False)
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print(outputs[0]["generated_text"])
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# <|system|>
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# A virtual assistant answers questions from a user based on the provided text.</s>
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# <|user|>
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# Text: The American Bank Note Company Printing Plant is a repurposed complex of three interconnected buildings in the Hunts Point neighborhood of the Bronx in New York City. The innovative Kirby, Petit & Green design was built in 1909–1911 by the American Bank Note Company on land which had previously been part of Edward G. Faile's country estate. A wide variety of financial instruments were printed there; at one point, over five million documents were produced per day, including half the securities traded on the New York Stock Exchange.</s>
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# <|assistant|>
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# I've read this text.</s>
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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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# ["Hunts Point", "Bronx", "New York City"]
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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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