Instructions to use Tanhim/translation-En2De with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanhim/translation-En2De with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Tanhim/translation-En2De")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tanhim/translation-En2De") model = AutoModelForSeq2SeqLM.from_pretrained("Tanhim/translation-En2De", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add evaluation results on wmt19 dataset
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\ Your model has been evaluated on the [wmt19](https://huggingface.co/datasets/wmt19) dataset by @lewtun, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-de1c01d5-7885055).\ Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=wmt19).\ Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=wmt19).297e190
-
Update README.md
075887a
-
Update README.md
4f9f044 -
Update README.md
b3dac8b -
Update README.md
d8f4d5e -
Update README.md
f5179c6 -
Update README.md
55ab3f9 -
Update README.md
a96c4fd -
Create README.md
1cdf084 -
Update from
sm49041839541ad -
initial commit
4324109