Instructions to use Helsinki-NLP/opus-mt-es-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-en 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-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-en") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 980899219ba1f32d7ed7dde4ea21f5c1c1055e4312e4707d9afe5ba4c38e8ec7
- Size of remote file:
- 312 MB
- SHA256:
- 586a4e69e0804459ac7c176a5dc76852652100d9af1ee0db796de719899a5deb
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