Translation
Transformers
PyTorch
Safetensors
German
English
fsmt
text2text-generation
wmt19
facebook
Instructions to use facebook/wmt19-de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wmt19-de-en 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-de-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/wmt19-de-en") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt19-de-en") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7003c946fbe961f2e4b77b2710ba4010f281b3142c01b7673e739e1a41af75c8
- Size of remote file:
- 1.08 GB
- SHA256:
- b4eec640fbbd4a6e76364a55969eb89bba4dbfe72f3aba9949a029bf9229464a
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