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, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_por_spa") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-bible-big-itc-fra_ita_por_spa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3268977d7b821f7bf37c631847a0445d25d32e8c924e4717fbf5e0efd602d49a
- Size of remote file:
- 869 MB
- SHA256:
- a5553396e698d6568cd4d61b333311a7ad6f7e4c7bcf0045606660557a0e456a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.