Instructions to use WindstormLabs/translate-sv-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-is 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-sv-is")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-is", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5551163e77ee6403550a4095f6509b4fe5cfb4f2037e244482a30d7dfc3c83de
- Size of remote file:
- 76.4 MB
- SHA256:
- 3ea5c84aa3f4a637bc8b248fab4160921425779f4dd99f8ea7b20dce86f339e9
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