Instructions to use Helsinki-NLP/opus-mt-es-ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-ee 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-ee")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-ee") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-es-ee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16b15acdc2b4417ed657828efd93c7f5268ed2f32280f20dd3216cca68e65c52
- Size of remote file:
- 302 MB
- SHA256:
- 38371d43565fc001d5fe6aa3a73794f2b246c0ffe22889ab9808da971370bcd9
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