Instructions to use WindstormLabs/translate-fi-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-sm 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-sm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-sm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41470d901064203e985b121908b1b98e266681de7fbf8ca3f40bac60668e901d
- Size of remote file:
- 883 kB
- SHA256:
- 8f62741eda88af04ae669109ec088fed09b58590e0d50985d4c3bcc6db1b021c
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