Instructions to use WindstormLabs/translate-fi-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-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-fi-ha")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ha", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b32452ba50fafbe4e20dfbf2c02e0a6b362193ee4afb4a27a28cf2c13e347c7d
- Size of remote file:
- 75.5 MB
- SHA256:
- ff526229b760338f6ce498f26e29e257647978a9f1ab3b09f55914eecabfe95b
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