Instructions to use WindstormLabs/translate-war-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-war-fr 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-war-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-war-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a49a2c85df6c5aab1950ab924252998614303860c2a89d20fa4348e5d1d6edd6
- Size of remote file:
- 814 kB
- SHA256:
- e3d2244818b813c9d193387344742d802cd6d7aba666836acf1ba404679495fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.