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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("autoevaluate/translation-not-evaluated") model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/translation-not-evaluated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results on the autoevaluate--wmt16-ro-en-sample config and test split of autoevaluate/wmt16-ro-en-sample
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\ Your model has been evaluated on the autoevaluate--wmt16-ro-en-sample config and test split of the [autoevaluate/wmt16-ro-en-sample](https://huggingface.co/datasets/autoevaluate/wmt16-ro-en-sample) dataset by @lewtun, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-d0f125bb-b6fe-4a56-8bed-0f8d3744fc42-127121).\ Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=autoevaluate/wmt16-ro-en-sample).\ Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=autoevaluate/wmt16-ro-en-sample).d8cda0f -
Update README.md
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Duplicate from autoevaluate/translation
Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>7807412