Instructions to use projecte-aina/aina-translator-ca-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use projecte-aina/aina-translator-ca-it with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "projecte-aina/aina-translator-ca-it" ) - Notebooks
- Google Colab
- Kaggle
add NTREX evaluation to model card
Browse files
README.md
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### Variable and metrics
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We use the BLEU score for evaluation on the
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### Evaluation results
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| Flores 101 dev | 24,3 | **28,5** | 26,1 |
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| Flores 101 devtest |24,7 | **29,1** | 26,3 |
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## Additional information
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### Variable and metrics
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We use the BLEU score for evaluation on the [Flores-101](https://github.com/facebookresearch/flores), and [NTREX](https://github.com/MicrosoftTranslator/NTREX) evaluation datasets.
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### Evaluation results
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| Flores 101 dev | 24,3 | **28,5** | 26,1 |
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| Flores 101 devtest |24,7 | **29,1** | 26,3 |
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| NTREX | 27,2 | **31,6** | 28,3 |
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| Average | 25,4 | **29,7** | 26,9 |
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## Additional information
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