Instructions to use WindstormLabs/translate-xh-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-xh-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-xh-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-xh-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b834271a80770d967545da4a30e068ea203281994c7dda03592b9a8aa40059
- Size of remote file:
- 820 kB
- SHA256:
- ef134a8949d0e30a717501b06cfb4fb92891a02af4fb2a9d366cd76f30a27dd9
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