Instructions to use WindstormLabs/translate-et-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-et-fi 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-et-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-et-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9e925e368e10a0e6d3200b04926d4993d4f4c790e52f05b20e138d76e61003b
- Size of remote file:
- 823 kB
- SHA256:
- 627807091c9d613912997925d4e0ce7c74858d617fbce20439eab3d2bfb51ef5
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