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System3_DREAM_FLUTE_social_norm_FigLang2022

Text2Text Generation Transformers PyTorch

English t5 Inference Endpoints text-generation-inference

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SaveBertAndGpt commited on Oct 26, 2022

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@@ -21,7 +21,7 @@ In this model, DREAM-FLUTE (social norm), we use elaborations along the "social
 We provide a quick example of how you can try out DREAM-FLUTE (social norm) in our paper with just a few lines of code:
 ```
 >>> from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
->>> model = model = AutoModelForSeq2SeqLM.from_pretrained("allenai/System3_DREAM_FLUTE_social_norm_FigLang2022")
 >>> tokenizer = AutoTokenizer.from_pretrained("t5-3b")
 >>> input_string = "Premise: Sure ,he snorted just to make me feel even better about the already great situation. [Premise - social norm] It's good to make people feel better about a situation. Hypothesis: Sure, he snorted, just rub it in. [Hypothesis - social norm] It's rude to rub something in someone's face when they don't want to. Is there a contradiction or entailment between the premise and hypothesis?"

 We provide a quick example of how you can try out DREAM-FLUTE (social norm) in our paper with just a few lines of code:
 ```
 >>> from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+>>> model = AutoModelForSeq2SeqLM.from_pretrained("allenai/System3_DREAM_FLUTE_social_norm_FigLang2022")
 >>> tokenizer = AutoTokenizer.from_pretrained("t5-3b")
 >>> input_string = "Premise: Sure ,he snorted just to make me feel even better about the already great situation. [Premise - social norm] It's good to make people feel better about a situation. Hypothesis: Sure, he snorted, just rub it in. [Hypothesis - social norm] It's rude to rub something in someone's face when they don't want to. Is there a contradiction or entailment between the premise and hypothesis?"