Instructions to use WindstormLabs/translate-fr-ny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-ny 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-ny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-ny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 011d7f0040f9a61aab95dd3d97bfd56f54457ecc4cbeaf5fdcd4daec56480af8
- Size of remote file:
- 77.4 MB
- SHA256:
- 8e368f018f890cd020b1eda93831d3c1e6b5aaf8e6689532cf939cf703130f76
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.