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README.md
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@@ -30,3 +30,33 @@ The evaluation is done on WMT2017 standard test set.
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| testset | BLEU |
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| Wmt2017 | 57.95 |
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| testset | BLEU |
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|-----------------------|-------|
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| Wmt2017 | 57.95 |
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## How to use model?
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* This model can be accessed via git clone:
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```
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git clone https://huggingface.co/samiulhaq/iwslt-bt-en-ur
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```
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* You can use Fairseq library to access the model for translations:
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```
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from fairseq.models.transformer import TransformerModel
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```
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### Load the model
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```
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model = TransformerModel.from_pretrained('path/to/model')
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```
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#### Set the model to evaluation mode
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```
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model.eval()
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```
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#### Perform inference
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```
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input_text = 'Hello, how are you?'
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output_text = model.translate(input_text)
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print(output_text)
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```
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