Instructions to use Helsinki-NLP/opus-mt-lua-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-lua-es 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-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-lua-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-lua-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d530c5025ea7324ed8d6d2d4352004c6040769da54b98a7bc226749e16bdae53
- Size of remote file:
- 303 MB
- SHA256:
- e18f81a2b7bfe47f1d8d96ae259f98cbd52abd1d6486eeea8e2291f3ecaac4af
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