Instructions to use WindstormLabs/translate-sv-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-lua 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-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbda6277106f77c672dacd65c0b3e4f5e1530561e0e77af9226035cd3ab35f9c
- Size of remote file:
- 77.1 MB
- SHA256:
- 7885503cfcb7db4802c089b801d4b2d1454b12002b6f60277d30598efb230370
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