Instructions to use WindyWord/translate-fi-lu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-lu 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="WindyWord/translate-fi-lu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-lu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66d96591d0666e19038eb20a81b29a2d9c627dfdd40a98f3c6ad40bb9e822323
- Size of remote file:
- 78.2 MB
- SHA256:
- 1d2b81ba933e0f1a1f3ab04ad321c4b55b40b1e899b25b5e28bae991cdb890b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.