Instructions to use WindstormLabs/translate-sv-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-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-sv-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd7fbee416dbbf44a3550626c41abf3c42b3c832f688b37b44df6e1a494ee7c2
- Size of remote file:
- 77.3 MB
- SHA256:
- c00fa1b4d94dca971e35d1426fc50e73328cbeb88599ec8a2fa5e6ef81e9596a
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