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:
- 1244d7548dcee4305cfd666c3c43a0474d14075d969acb89f5286e09ec35b8f3
- Size of remote file:
- 304 MB
- SHA256:
- cdd78fa7a9df9a65c77e7c9167f8e9c7e35d59cd51356aefcc5ff69334da1d2a
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