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ASL-MoViNet-T5-translator

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deanna-emery commited on Dec 13, 2023

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@@ -83,7 +83,7 @@ to generate translations from the video embeddings. This model architecture achi
 and an average cosine similarity score of 0.21 when trained and evaluated on the YouTube-ASL dataset.
 More information about the model training and instructions to download the models
 can be found in our <a href=https://github.com/deanna-emery/ASL-Translator>GitHub repository</a>.
-You can also find a overview of the project approach
 <a href=https://www.ischool.berkeley.edu/projects/2023/signsense-american-sign-language-translation>here</a>.
 A limitation of this architecture is the size of the MoViNets model, making it especially slow during inference on a CPU.

 and an average cosine similarity score of 0.21 when trained and evaluated on the YouTube-ASL dataset.
 More information about the model training and instructions to download the models
 can be found in our <a href=https://github.com/deanna-emery/ASL-Translator>GitHub repository</a>.
+You can also find an overview of the project approach
 <a href=https://www.ischool.berkeley.edu/projects/2023/signsense-american-sign-language-translation>here</a>.
 A limitation of this architecture is the size of the MoViNets model, making it especially slow during inference on a CPU.