Instructions to use WindstormLabs/translate-sv-ilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-ilo 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-ilo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-ilo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dcd50fcba4a10a5e8ca8df29c7c1f90cc2d7746364739a80ead842880d2930b
- Size of remote file:
- 76.7 MB
- SHA256:
- 34599823a1e56021a26c85db0eca7ae5ac55465a8025c4643636971b424dc5b2
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