Instructions to use WindstormLabs/translate-bi-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bi-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="WindstormLabs/translate-bi-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bi-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 876ac86826eb1879d929d79c384c1a5c908686c3a35bebe1fd8f100482338a29
- Size of remote file:
- 716 kB
- SHA256:
- a48b9d0f90366c9b8da216786c2af174cec5f1dd70251a0e7323c4347feb01a4
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