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@@ -28,7 +28,7 @@ You can use the raw model for text infilling. However, the model is mostly meant
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  # How to use the model
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- *NOTE:* Use `trust_remote_code=True` to initiate the tokenizer.
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  ## Simple use
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@@ -127,5 +127,10 @@ The model uses a [sentencepiece](https://github.com/google/sentencepiece)-based
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  # Licenses
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  The pretrained models are distributed under the terms of the [MIT License](https://opensource.org/licenses/mit-license.php).
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  # Acknowledgement
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  This comparison study supported with Cloud TPUs from Google’s TensorFlow Research Cloud (TFRC).
 
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  # How to use the model
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+ *NOTE:* Since we are using a custom tokenizer, please use `trust_remote_code=True` to initialize the tokenizer.
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  ## Simple use
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  # Licenses
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  The pretrained models are distributed under the terms of the [MIT License](https://opensource.org/licenses/mit-license.php).
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+ *NOTE:* Only tokenization_bart_japanese_news.py is Apache License, Version 2.0.
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+ # Contact
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+ If you have any questions, please contact us using [our contact form](https://stockmark.co.jp/contact).
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  # Acknowledgement
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  This comparison study supported with Cloud TPUs from Google’s TensorFlow Research Cloud (TFRC).