Instructions to use WindstormLabs/translate-fi-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-sl 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-sl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-sl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87db0d6f94e534a25f39eaa542df2e1c8d5d9dd68eb7adaf0ca7033ae5769877
- Size of remote file:
- 76.6 MB
- SHA256:
- 77adef9288412097a11dd028a47e86801e6cda775a00e2a6faf8f82ed6295bb0
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