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agnews_explained

Text Generation
PEFT
Safetensors
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@@ -13,7 +13,7 @@ Sample input: Below is a news article. Please classify it under one of the follo
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  Sample output: {"text_label": "World", "explanation": "The article is classified as 'World' because it discusses the poverty rate and lack of health coverage in the United States. Although it is a domestic issue, it has potential implications for the upcoming presidential election, making it relevant to a global audience."}\
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  ---\
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- Try using this adapter yourself!\
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  Sample output: {"text_label": "World", "explanation": "The article is classified as 'World' because it discusses the poverty rate and lack of health coverage in the United States. Although it is a domestic issue, it has potential implications for the upcoming presidential election, making it relevant to a global audience."}\
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  ---\
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+ Try using this adapter yourself!
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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