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autoevaluate
/
translation

Transformers
PyTorch
TensorBoard
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
9

Instructions to use autoevaluate/translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/translation with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/translation")
    model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/translation")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#9 opened about 1 year ago by
SFconvertbot

Librarian Bot: Add base_model information to model

#8 opened over 2 years ago by
librarian-bot

Add evaluation results on the autoevaluate--wmt16-ro-en-sample config and test split of autoevaluate/wmt16-ro-en-sample

#7 opened over 3 years ago by
lewtun

Add evaluation results on the autoevaluate--wmt16-ro-en-sample config of autoevaluate/wmt16-ro-en-sample

#6 opened over 3 years ago by
lewtun

Add evaluation results on the ro-en config of wmt16

#5 opened almost 4 years ago by
lewtun

Add evaluation results on wmt16 dataset

#4 opened almost 4 years ago by
lewtun

Add evaluation results on wmt16

#3 opened almost 4 years ago by
lewtun

Add evaluation results on wmt16

#2 opened almost 4 years ago by
lewtun

Add evaluation results on wmt16

#1 opened almost 4 years ago by
lewtun
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