Instructions to use WindstormLabs/translate-en-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-ha")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ha", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c949a215850f82d6fd8f7480d50f5550ba2b3d458322b6189f2cbb8c33d3ebdc
- Size of remote file:
- 813 kB
- SHA256:
- 142ff4b7d573fd3e868afe4d31c94625ae57e7351bc37b0197279797773e6dc9
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