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README.md
@@ -147,7 +147,7 @@ __Cons__:
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| Multilingual | BERT, 8 layers | ViT-B/16 | 4 layers | [weights.pt][weights-m] |
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The Multilingual model supports 11 languages, after being trained on a balanced dataset.
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-For pre-training we used translated captions made with [NLLB](https://github.com/facebookresearch/fairseq/tree/nllb)
+For pre-training we used translated captions made with [NLLB](https://github.com/facebookresearch/fairseq/tree/nllb).
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| Code | Language | # | Code | Language | # | Code | Language |
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| :------- | :------- | :--- | :------- | :------------------- | :--- | :------- | :------- |
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