Instructions to use WindstormLabs/translate-fr-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-pl 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-fr-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24f227668db58e8782b30ee4cb2c196b87a6c9a3840fb30d77bed4423e61d64c
- Size of remote file:
- 809 kB
- SHA256:
- 94153ee4b6bb9c1008551d4a7517e9e1a671baebc356db16fcf18ff26ff1ff1b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.