Translation
Transformers
PyTorch
Safetensors
English
German
fsmt
text2text-generation
wmt19
facebook
Instructions to use facebook/wmt19-en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wmt19-en-de 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="facebook/wmt19-en-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/wmt19-en-de") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt19-en-de") - Inference
- Notebooks
- Google Colab
- Kaggle
Add evaluation results on the de-en config and validation split of wmt19
#2
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the de-en config and validation split of the wmt19 dataset by @WillHeld , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.