Instructions to use WindstormLabs/translate-eo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-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-eo-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15a3cc9e96697de077b43bca56d602debf794fc75969c77908050f62df3230cf
- Size of remote file:
- 49.6 MB
- SHA256:
- 5a265f6bb08a2956efa38acb7dc08b942764291e25d9bb4b29a142bf8383ab07
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.