Instructions to use WindstormLabs/translate-sv-lus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-lus 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-lus")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-lus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e2a7420fc44d98c1082b64924852886c35141040500522b38a14bd9e1b97caa
- Size of remote file:
- 840 kB
- SHA256:
- 9ab261e2738260c09ec780224df001b2b454f495042e1f0a5115485d00c51b71
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