Instructions to use WindstormLabs/translate-fr-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-st 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-st")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-st", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09e1c71b48fc8b78d233aea16aa410a88d79228e79529a14378214986a91a49c
- Size of remote file:
- 846 kB
- SHA256:
- b9cff664976e41f9f68aee155d2cd15fd19dbce1998fbe1154546e304945f3e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.