haining
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scientific_abstract_simplification

text2text-generation

text2text generation

text-generation-inference

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haining commited on Dec 7, 2022

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 # TL;DR
 Scientific Abstract Simplification-baseline *translates* hard-to-read scientific abstracts😵 into more accessible language😇. We hope it can make scientific knowledge accessible for everyone🤗.
-If you already used our baseline model[`sas_baseline`](https://huggingface.co/haining/sas_baseline), the current model just performs better on *all* metrics.
 Try it now with the Hosted inference API on the right.
 You can choose an existing example or paste in any (perhaps full-of-jargon) abstract. Remember to prepend the instruction to the abstract ("summarize, simplify, and contextualize: "; notice, there is a whitespace after the colon). Local use refers to Section [Usage](#Usage).
@@ -164,7 +164,7 @@ Please [contact us](mailto:hw56@indiana.edu) for any questions or suggestions.
 # Disclaimer
-The model (Scientific_Abstract_Simplification) is created for making scientific abstracts more accessible. Its outputs should not be used or trusted outside of its scope. There is no guarantee that the generated text is perfectly aligned with the research. Resort to human experts or original papers when a decision is critical.
 # Acknowledgement

 # TL;DR
 Scientific Abstract Simplification-baseline *translates* hard-to-read scientific abstracts😵 into more accessible language😇. We hope it can make scientific knowledge accessible for everyone🤗.
+If you already used our baseline model [`sas_baseline`](https://huggingface.co/haining/sas_baseline), the current model just performs better on *all* metrics.
 Try it now with the Hosted inference API on the right.
 You can choose an existing example or paste in any (perhaps full-of-jargon) abstract. Remember to prepend the instruction to the abstract ("summarize, simplify, and contextualize: "; notice, there is a whitespace after the colon). Local use refers to Section [Usage](#Usage).
 # Disclaimer
+The model (scientific_abstract_simplification) is created for making scientific abstracts more accessible. Its outputs should not be used or trusted outside of its scope. There is no guarantee that the generated text is perfectly aligned with the research. Resort to human experts or original papers when a decision is critical.
 # Acknowledgement