Instructions to use WindstormLabs/translate-fi-mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-mk 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-mk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-mk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c13efa11aa81142241569012ce92c7dc8e52894b1da94a85bfc2cd564530324d
- Size of remote file:
- 833 kB
- SHA256:
- 9c3712c381a09a7919df45dda11a92e31627f87503d79c5008fb7a8290724865
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