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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English") model = AutoModelForMultimodalLM.from_pretrained("DunnBC22/opus-mt-de-en-OPUS_Medical_German_to_English") - Notebooks
- Google Colab
- Kaggle
| { | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "separate_vocabs": false, | |
| "source_lang": "de", | |
| "sp_model_kwargs": {}, | |
| "target_lang": "en", | |
| "tokenizer_class": "MarianTokenizer", | |
| "unk_token": "<unk>" | |
| } | |