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Merge branch 'main' of https://huggingface.co/Unbabel/wmt22-comet-da into main

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  1. README.md +7 -3
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@@ -104,7 +104,11 @@ This is a [COMET](https://github.com/Unbabel/COMET) evaluation model: It receive
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  [COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://aclanthology.org/2022.wmt-1.52) (Rei et al., WMT 2022)
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- ## Usage (unbabel-comet)
 
 
 
 
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  Using this model requires unbabel-comet to be installed:
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@@ -136,13 +140,13 @@ model_output = model.predict(data, batch_size=8, gpus=1)
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  print (model_output)
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  ```
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- ## Intended uses
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  Our model is intented to be used for **MT evaluation**.
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  Given a a triplet with (source sentence, translation, reference translation) outputs a single score between 0 and 1 where 1 represents a perfect translation.
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- ## Languages Covered:
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  This model builds on top of XLM-R which cover the following languages:
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  [COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://aclanthology.org/2022.wmt-1.52) (Rei et al., WMT 2022)
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+ # License
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+
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+ Apache-2.0
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+
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+ # Usage (unbabel-comet)
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  Using this model requires unbabel-comet to be installed:
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  print (model_output)
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  ```
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+ # Intended uses
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  Our model is intented to be used for **MT evaluation**.
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  Given a a triplet with (source sentence, translation, reference translation) outputs a single score between 0 and 1 where 1 represents a perfect translation.
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+ # Languages Covered:
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  This model builds on top of XLM-R which cover the following languages:
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