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@@ -36,7 +36,7 @@ This model is based on the T5-base model. We used "transfer learning" to get our
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  [Kaggle](https://www.kaggle.com/datasets/vladimirvorobevv/chatgpt-paraphrases) link
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- **Deploying example:**
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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@@ -76,7 +76,7 @@ def paraphrase(
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  return res
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  ```
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- **Usage examples**
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  **Input:**
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  ```python
@@ -107,7 +107,7 @@ paraphrase(text)
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  ```
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- **Train parameters:**
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  ```python
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  epochs = 5
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  batch_size = 64
@@ -116,9 +116,11 @@ lr = 5e-5
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  batches_qty = 196465
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  betas = (0.9, 0.999)
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  eps = 1e-08
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-
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- ```
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  ```
 
 
 
 
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  @inproceedings{chatgpt_paraphraser,
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  author={Vladimir Vorobev, Maxim Kuznetsov},
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  title={A paraphrasing model based on ChatGPT paraphrases},
 
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  [Kaggle](https://www.kaggle.com/datasets/vladimirvorobevv/chatgpt-paraphrases) link
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+ ## Deploying example
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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  return res
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  ```
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+ ## Usage examples
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  **Input:**
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  ```python
 
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  ```
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+ ## Train parameters
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  ```python
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  epochs = 5
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  batch_size = 64
 
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  batches_qty = 196465
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  betas = (0.9, 0.999)
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  eps = 1e-08
 
 
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  ```
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+
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+ ### BibTeX entry and citation info
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+
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+ ```bibtex
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  @inproceedings{chatgpt_paraphraser,
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  author={Vladimir Vorobev, Maxim Kuznetsov},
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  title={A paraphrasing model based on ChatGPT paraphrases},