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:
- 08e29261771a8b35c73a65464c922ab48096b7f8f911074ea108f8f4a861dc40
- Size of remote file:
- 1.09 GB
- SHA256:
- f49dd6116332ba452d6f26e8513b3fc0c4cc2eab5dde9cd89d5e4c9bc26e7976
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