Instructions to use WindstormLabs/translate-uk-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-uk-bg 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-uk-bg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-uk-bg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2748abd329c971692c2a3bcdbd11fb107d1a0c79b7f309c94d2760e230bb7cb7
- Size of remote file:
- 1.03 MB
- SHA256:
- 8021317f09a7f9f5829dfaf3393e7bae8a4ed75cf1d3869e2d53ec040925ff4b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.