Instructions to use WindstormLabs/translate-nso-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-nso-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-nso-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-nso-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 629c8a2b3760e8c1ff4ddfa8af3756e9470931690ad4313e396649bb57447fa8
- Size of remote file:
- 825 kB
- SHA256:
- eb5fb703634c95cfb6888ef49c4cf67b4d6d05b3fb472f42721b3bcd33cfec48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.