Instructions to use Helsinki-NLP/opus-mt-lua-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-lua-fr 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-lua-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-lua-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-lua-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c018a88ee89784679eee0317298d09ff8da9ee4e1114c08a31e1da54c4e17302
- Size of remote file:
- 302 MB
- SHA256:
- c991defd193652f2245739c40b4faa7046aae9d5dd178d30536269e7dc6d61cf
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