Instructions to use entity2260/opus_en_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_en_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="entity2260/opus_en_es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38c15c13e6512d01d9e69eecfd79febcbc0571f802c59d04960a64f0b6fb1dec
- Size of remote file:
- 312 MB
- SHA256:
- befce0f620e8e63f83bbb7f0818eb51d541cba28057a7cc14b00466d85c4994c
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