pszemraj
/

grammar-synthesis-large

Text2Text Generation

error-correction

grammar synthesis

text-generation-inference

Inference Endpoints

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pszemraj commited on Jul 10, 2022

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@@ -80,7 +80,7 @@ Obviously, this section is quite general as there are many things one can use "g
 1. Correcting highly error-prone LM outputs. Some examples would be audio transcription (ASR) (this is literally some of the examples) or something like handwriting OCR.
     - To be investigated further, depending on what model/system is used it _might_ be worth it to apply this after OCR on typed characters.
 2. Correcting/infilling text generated by text generation models to be cohesive/remove obvious errors that break the conversation immersion. I use this on the outputs of [this OPT 2.7B chatbot-esque model of myself](https://huggingface.co/pszemraj/opt-peter-2.7B).
-  > An example of this in effect:
 ```
 original response:

 1. Correcting highly error-prone LM outputs. Some examples would be audio transcription (ASR) (this is literally some of the examples) or something like handwriting OCR.
     - To be investigated further, depending on what model/system is used it _might_ be worth it to apply this after OCR on typed characters.
 2. Correcting/infilling text generated by text generation models to be cohesive/remove obvious errors that break the conversation immersion. I use this on the outputs of [this OPT 2.7B chatbot-esque model of myself](https://huggingface.co/pszemraj/opt-peter-2.7B).
+  > An example of this model running on CPU with beam search:
 ```
 original response: