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@@ -5,7 +5,9 @@ tags:
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  - formality
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  licenses:
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  - cc-by-nc-sa
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- license: cc-by-nc-sa-4.0
 
 
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  ---
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@@ -28,9 +30,10 @@ Here, we provide several metrics of the best models from each category participa
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  | DeBERTa-large | 87.8 | 89.0 | 86.1 |
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  **How to use**
 
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model_name = 'deberta-large-formality-ranker'
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  ```
@@ -57,9 +60,4 @@ model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  ## Licensing Information
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- [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
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-
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- [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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-
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- [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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- [cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png
 
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  - formality
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  licenses:
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  - cc-by-nc-sa
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+ license: openrail++
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+ base_model:
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+ - microsoft/deberta-v3-large
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  ---
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  | DeBERTa-large | 87.8 | 89.0 | 86.1 |
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  **How to use**
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+
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model_name = 's-nlp/deberta-large-formality-ranker'
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  ```
 
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  ## Licensing Information
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+ This model is licensed under the OpenRAIL++ License, which supports the development of various technologies—both industrial and academic—that serve the public good.