Instructions to use WindstormLabs/translate-bg-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bg-uk 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-bg-uk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bg-uk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8de686b64417e469b6b0f69eeec841e66c51eb47a7808fc873c5627864098cf
- Size of remote file:
- 1.05 MB
- SHA256:
- 2a3d0eeeb1507acc692d8f81bdc625ea9a374898948dbd0a8f0950d7424085ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.