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@@ -15,18 +15,16 @@ metrics:
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  - CodeBLEU
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  ---
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- Pretrained model for [NatGen: Generative pre-training by “Naturalizing” source code](https://arxiv.org/pdf/2206.07585v2.pdf)
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  To load the model,
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  ```
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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-
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  tokenizer = AutoTokenizer.from_pretrained("saikatc/NatGen")
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-
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  model = AutoModelForSeq2SeqLM.from_pretrained("saikatc/NatGen")
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  ```
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- NatGen: Generative Pre-training by “Naturalizing” Source Code [[`Paper Link`]](https://dl.acm.org/doi/abs/10.1145/3540250.3549162),[[`Code Repo`]](https://github.com/saikat107/NatGen),[[`Slide`]](https://docs.google.com/presentation/d/1T6kjiohAAR1YvcNvTASR94HptA3xHGCl/edit?usp=sharing&ouid=111755026725574085503&rtpof=true&sd=true).
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  For citation,
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  ```
 
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  - CodeBLEU
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  ---
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+ Pretrained model for NatGen: Generative Pre-training by “Naturalizing” Source Code [[`paper`]](https://dl.acm.org/doi/abs/10.1145/3540250.3549162),[[`code`]](https://github.com/saikat107/NatGen),[[`slide`]](https://docs.google.com/presentation/d/1T6kjiohAAR1YvcNvTASR94HptA3xHGCl/edit?usp=sharing&ouid=111755026725574085503&rtpof=true&sd=true).
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  To load the model,
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  ```
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
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  tokenizer = AutoTokenizer.from_pretrained("saikatc/NatGen")
 
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  model = AutoModelForSeq2SeqLM.from_pretrained("saikatc/NatGen")
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  ```
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+
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  For citation,
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  ```