change the model in the text description to match code and model card.
#4
by
pinzhenchen
- opened
README.md
CHANGED
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@@ -235,7 +235,7 @@ Safiyyah Saleem, Holger Schwenk, and Jeff Wang.
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The avalable checkpoints requires around 350GB of storage. Make sure to use `accelerate` if you do not have enough RAM on your machine.
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While generating the target text set the `forced_bos_token_id` to the target language id. The following
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example shows how to translate English to French using the *facebook/nllb-
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Note that we're using the BCP-47 code for French `fra_Latn`. See [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)
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for the list of all BCP-47 in the Flores 200 dataset.
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The avalable checkpoints requires around 350GB of storage. Make sure to use `accelerate` if you do not have enough RAM on your machine.
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| 236 |
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| 237 |
While generating the target text set the `forced_bos_token_id` to the target language id. The following
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example shows how to translate English to French using the *facebook/nllb-moe-54b* model.
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Note that we're using the BCP-47 code for French `fra_Latn`. See [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)
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for the list of all BCP-47 in the Flores 200 dataset.
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