Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc-bible
Eval Results (legacy)
Instructions to use Helsinki-NLP/opus-mt-tc-bible-big-gmw-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-gmw-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-gmw-fra_ita_por_spa")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-gmw-fra_ita_por_spa") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-gmw-fra_ita_por_spa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d227c48ea481dcd7b3b4f30b81099dd7eff28bcb1f5d5c8a39c870584067ecba
- Size of remote file:
- 816 kB
- SHA256:
- a3927ef85ca1bd6da0cbf59f1e80379d2f48f5c74d1620c49da620168ca1d15f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.