Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-fiu-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-fiu-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-fiu-deu_eng_fra_por_spa")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-fiu-deu_eng_fra_por_spa") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-fiu-deu_eng_fra_por_spa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9d57adaa0f22331b136ebe8e63a296b6393370b332d665676109ff677a0cea7
- Size of remote file:
- 949 MB
- SHA256:
- cffc6805a38de06c3222152598bb2532ef9064fc5a8be3f2e4f4ef57d1dde00d
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