Instructions to use WindstormLabs/translate-fi-mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-mos 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-mos")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-mos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad6f9b2cc98c3a8a3a6a776124a05690766a87c8e5e35dcb4f84024b411eefb0
- Size of remote file:
- 580 kB
- SHA256:
- e0e9b622c7d055a66109b0e6137bbb6a01ae6e3594ae999fdbd71f2f8e8dc507
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