Instructions to use WindstormLabs/translate-lus-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lus-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-lus-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lus-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65184458f4768f21f9c06bff4712253b100ba32b286f46bbbcb016633c993bc8
- Size of remote file:
- 668 kB
- SHA256:
- 39df5f3e1b45cc0bbab1641936a79db9c35bce1404e3259bfe588cbae2b8f665
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