Instructions to use WindstormLabs/translate-ty-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ty-fi 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-ty-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ty-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 674d0e3a6eb95ca68d9aade89914cdf4480fe14dcbc91db3d88775f75c8bb4ef
- Size of remote file:
- 77.1 MB
- SHA256:
- 59fcc13e34f1dd7b68cb6af180389dc1bb87a5ca3f55a6b46ca09ae4bc7bd7c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.