Transformers
PyTorch
Safetensors
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use wandemberg-eld/opus-mt-en-de-finetuned-en-to-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wandemberg-eld/opus-mt-en-de-finetuned-en-to-de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wandemberg-eld/opus-mt-en-de-finetuned-en-to-de") model = AutoModelForSeq2SeqLM.from_pretrained("wandemberg-eld/opus-mt-en-de-finetuned-en-to-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cd0d70d2698cd991359229eede22330773a6cfba0236875836fc4ee36ed96ef
- Size of remote file:
- 296 MB
- SHA256:
- fce641e4cc297fc438ab983ccb2716ca3541071a55a146ba171914dd594cd932
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