Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-gem-deu_eng_fra_por_spa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-tc-bible-big-gem-deu_eng_fra_por_spa 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="Helsinki-NLP/opus-mt-tc-bible-big-gem-deu_eng_fra_por_spa")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-gem-deu_eng_fra_por_spa") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-gem-deu_eng_fra_por_spa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4bed14c9dda93c400608b66f731d47ba76afcfc79b999ded734cc3c616e4ded
- Size of remote file:
- 807 kB
- SHA256:
- dd09780b5934876f01d2f26af9faf12fe1f67a77516f7b73ca876e9ed7f62503
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