Instructions to use WindstormLabs/translate-es-ho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ho 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-es-ho")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ho", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c902d8f3c47878707a0a780ee5525e956aa773b0d328fd7e35798d35cc336534
- Size of remote file:
- 513 kB
- SHA256:
- 430e7600cd5dc7505187fe6ac01f3912a60b46361e50d92d98cb8f3b0f6c4a34
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