Instructions to use Helsinki-NLP/opus-mt-es-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-lua 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-es-lua")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-lua") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-lua") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c26241a0b43fe7419157e5707ad42859afe2844b288fb56eacd3c3a1e9a952
- Size of remote file:
- 303 MB
- SHA256:
- 1ae8d5c5b49288ee963117775cef141e242dc6be5c9d1925f7bca7fe3c8a73ea
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