Instructions to use WindstormLabs/translate-nso-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-nso-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-nso-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-nso-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5c20ded6cabbb742a4d522f3c439f0e620fa416968b5671b2762c16afca5209
- Size of remote file:
- 824 kB
- SHA256:
- ab9c65993419f74f110d70b94508277f5718224949d9fa028b60ccb046092189
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.