Instructions to use WindstormLabs/translate-ko-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ko-sv 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-ko-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ko-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28d2b5424ba8f913fc5fd534d188054702cd138e6cc52bb7b18e09b9b3adf1ef
- Size of remote file:
- 817 kB
- SHA256:
- d4aec29b8ecda2090c2ba7b7e0d738d0dcdf13cec9050d58e1e688014cc3c762
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