Translation
Transformers
PyTorch
TensorBoard
English
German
marian
text2text-generation
Generated from Trainer
medical
Instructions to use DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English 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="DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English") model = AutoModelForSeq2SeqLM.from_pretrained("DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af715de17eef393160f6163eb349c60878c1653403fefe5dff66b9a95b75b3ff
- Size of remote file:
- 768 kB
- SHA256:
- 678f2a1177d8389f67b66299762dcc4fc567e89b07e212ba91b0c56daecf47ce
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