Instructions to use WindstormLabs/translate-sv-pon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-pon 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-pon")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-pon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cfd605e841ae1643cd3088b7339d6536663da6068f0e445e90025ac7b3f293d
- Size of remote file:
- 74.9 MB
- SHA256:
- 3ce0c72213ff8d3552fae35dbcc60858f1e9a4657e9546056932d73df0e6ff6c
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