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System3_DREAM_FLUTE_motivation_FigLang2022

Text2Text Generation

text-generation-inference

Inference Endpoints

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SaveBertAndGpt commited on Oct 26, 2022

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@@ -21,7 +21,7 @@ In this model, DREAM-FLUTE (motivation), we use elaborations along the "motivati
 We provide a quick example of how you can try out DREAM-FLUTE (motivation) in our paper with just a few lines of code:
 ```
 >>> from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
->>> model = model = AutoModelForSeq2SeqLM.from_pretrained("allenai/System3_DREAM_FLUTE_motivation_FigLang2022")
 >>> tokenizer = AutoTokenizer.from_pretrained("t5-3b")
 >>> input_string =  "Premise: After years of service and contribution to the company, he was finally promoted. [Premise - motivation] Company's motivation is to recognize his hard work. Hypothesis: The company released him after many years of service. [Hypothesis - motivation] Company's motivation is to get someone else to work. Is there a contradiction or entailment between the premise and hypothesis?"

 We provide a quick example of how you can try out DREAM-FLUTE (motivation) in our paper with just a few lines of code:
 ```
 >>> from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+>>> model = AutoModelForSeq2SeqLM.from_pretrained("allenai/System3_DREAM_FLUTE_motivation_FigLang2022")
 >>> tokenizer = AutoTokenizer.from_pretrained("t5-3b")
 >>> input_string =  "Premise: After years of service and contribution to the company, he was finally promoted. [Premise - motivation] Company's motivation is to recognize his hard work. Hypothesis: The company released him after many years of service. [Hypothesis - motivation] Company's motivation is to get someone else to work. Is there a contradiction or entailment between the premise and hypothesis?"