Instructions to use WindstormLabs/translate-ee-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ee-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-ee-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ee-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10f2188455806aa2a74db35aeee91385e2c661f43713f950bfcf5feb2d9f7f4b
- Size of remote file:
- 855 kB
- SHA256:
- 96dfd2a49392e1fbc1f863101781571932d8ebc6fdfdb61c21f15b0022a55434
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.