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:
- 7c9808acbe36f1885479fab0c26fa719df3b9cbc98a37794fb3e5ef50b4baf96
- Size of remote file:
- 76.7 MB
- SHA256:
- 0afb2ec4f2df57475560b5474ab3a7badff4f79970a5e47d3b10473ce410aa31
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