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
- Xet hash:
- 2d661352e48c449c38055944149f2933cbd094ef855f3e4191728c3148a49c05
- Size of remote file:
- 1.08 GB
- SHA256:
- 9976b462c4c42afd89e718f44639de30167fdb059fe2b3ad603579eaab73d66c
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