Instructions to use WindstormLabs/translate-fr-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-no 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-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfac2d701a57175d633731f601be32dafdf9d047a75c66364151eef14aa682ca
- Size of remote file:
- 49.5 MB
- SHA256:
- e110e74e16216f21b9413c30ca9868ff1ebf47ba51ba5b737fddf2c0c8d9f076
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.