Instructions to use WindstormLabs/translate-ha-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ha-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-ha-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ha-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0237f9c7a57432da68e4871ed5839da829d0b394016a7436efcef6cd26e783af
- Size of remote file:
- 76.7 MB
- SHA256:
- c35ceb53f67caf00330610df7bdd47666593a24d8c7998c2e447f39d90ad0811
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