Instructions to use Helsinki-NLP/opus-mt-es-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-ty 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-ty")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-ty") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-ty") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96e782194a6a01a8cec2ae3feb536555df4e7f60f980a8e29e641c7f48d7ab73
- Size of remote file:
- 300 MB
- SHA256:
- c9dd3384b5a9b69c31eb25168c2ddbb232c98a543da98f822699c8b65fb85b3c
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