Instructions to use WindstormLabs/translate-sv-ceb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-ceb 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-ceb")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-ceb", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 953c90785d97593987dd1d5842b69817d922a75552bb8582f95499204be3310d
- Size of remote file:
- 848 kB
- SHA256:
- 2049ed42eea62a8b864d8abccb7bf72d9e71173426b1adb74f45b4ce2b0ce63e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.