HPLT
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translate-en-mt-v1.0-hplt

text2text-generation

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pinzhenchen commited on Mar 6

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@@ -13,8 +13,8 @@ This repository contains the translation model for en-mt trained with HPLT data
 ### Model Info
-* Source language: en
-* Target language: mt
 * Data: HPLT data only
 * Model architecture: Transformer-base
 * Tokenizer: SentencePiece (Unigram)
@@ -23,7 +23,7 @@ This repository contains the translation model for en-mt trained with HPLT data
 You can also read our deliverable report [here](https://hplt-project.org/HPLT_D5_1___Translation_models_for_select_language_pairs.pdf) for more details.
 ### Usage
-*Note* that for quality considerations, we recommend using `[HPLT/translate-en-mt-v1.0-hplt_opus](https://huggingface.co/HPLT/translate-en-mt-v1.0-hplt_opus)` instead of this model.
 The model has been trained with Marian. To run inference, refer to the [Inference/Decoding/Translation](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0#inferencedecodingtranslation) section of our GitHub repository.

 ### Model Info
+* Source language: English
+* Target language: Maltese
 * Data: HPLT data only
 * Model architecture: Transformer-base
 * Tokenizer: SentencePiece (Unigram)
 You can also read our deliverable report [here](https://hplt-project.org/HPLT_D5_1___Translation_models_for_select_language_pairs.pdf) for more details.
 ### Usage
+**Note** that for quality considerations, we recommend using [HPLT/translate-en-mt-v1.0-hplt_opus](https://huggingface.co/HPLT/translate-en-mt-v1.0-hplt_opus) instead of this model.
 The model has been trained with Marian. To run inference, refer to the [Inference/Decoding/Translation](https://github.com/hplt-project/HPLT-MT-Models/tree/main/v1.0#inferencedecodingtranslation) section of our GitHub repository.