Instructions to use Helsinki-NLP/opus-mt-zai-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zai-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-zai-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zai-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zai-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0977a4c270956a09b6991ad49f49661a66066ffe7075cae1ba1496ca4855671
- Size of remote file:
- 278 MB
- SHA256:
- a2fdfb2b2e5ca8d9910a77af1cc2a8559e3ffa890bbc2233b091efaea5faad4e
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