Instructions to use WindstormLabs/translate-ha-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ha-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ha-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d16bd2b2b86937bfce795c0d536198471ce0249e73b171f68def640d1624d0f
- Size of remote file:
- 783 kB
- SHA256:
- 3ff009c3f913456abb6fd297ec49eacad54fb6027c3994b0d936cbe371fcbba7
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