Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_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-itc-fra_ita_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-itc-fra_ita_por_spa")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_por_spa") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_por_spa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88ab265b66aec9372630d07013902eb651c292cdd136fa5699353aa969ff3f10
- Size of remote file:
- 869 MB
- SHA256:
- 38c5ad0c5ef8fd7aa4ca2a92f9fbec772aaaf4124d05b34191bf119bde816afc
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