Instructions to use WindstormLabs/translate-fi-lus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-lus 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-lus")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-lus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41d66d0956552ffb96adb564db421491c818922e439de9c6516651e728d0da9e
- Size of remote file:
- 894 kB
- SHA256:
- 13da90b32c4901865dfab6e61ce0e31592538bf9907ee792c973b6f1f236f7ea
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