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-urj 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-urj 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-urj")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-urj") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-urj") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43cb46327ea218b8276bf6a5d4fbfdec04b2f187d3381c7ffae27262d7fbdca7
- Size of remote file:
- 949 MB
- SHA256:
- 8b252117a69bfed9064ba83e450ff9b3f2c3d7f535c2ba44fe73f161890747e6
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