Instructions to use WindstormLabs/translate-id-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-id-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-id-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-id-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ca174f9be3a2b49c42699ca76c0a35e18822add501d8f86e75ea7ba46c7053a
- Size of remote file:
- 831 kB
- SHA256:
- 0353e029be8c87739c05c99c93562ac9a3a5d0e8a9dfd2a149d91979e3f48f60
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