Instructions to use autoevaluate/translation-not-evaluated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/translation-not-evaluated with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("autoevaluate/translation-not-evaluated") model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/translation-not-evaluated") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- autoevaluate/wmt16-sample
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metrics:
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- bleu
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model-index:
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- name: translation
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: wmt16
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type: wmt16
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args: ro-en
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metrics:
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- name: Bleu
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type: bleu
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value: 28.5866
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duplicated_from: autoevaluate/translation
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- autoevaluate/wmt16-sample
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metrics:
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- bleu
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duplicated_from: autoevaluate/translation
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---
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