Instructions to use WindstormLabs/translate-es-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ha 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-ha")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ha", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ebf29f78105d53494b0548f595d2c22d4a0fcc2a5b5e92fd14fa3d18c1bc5dc
- Size of remote file:
- 782 kB
- SHA256:
- c2253fd453eea75140da7294bc7acedff8a70f073df01cbe540a4eb84c31eb76
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