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:
- 7df7596fc938aafe92f3bec97d1d3c45b421bdb26291ee96b98e4402dd06e10e
- Size of remote file:
- 296 MB
- SHA256:
- 57b87b5659d87e481b111ddc27b1d2e2e91eb81b8e264b772f09f10acbf3122d
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