Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt 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-deu_eng_fra_por_spa-bnt 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-deu_eng_fra_por_spa-bnt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd3d32b4c7d6b262e218089b7ef17a0051eba9af7fffb6046d088614ce963fae
- Size of remote file:
- 961 MB
- SHA256:
- 89d493951cae8297965cc725b8b3982c94a121ab948a854eb399451fe3b33bd7
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