Instructions to use WindyWord/translate-fr-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-sg 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="WindyWord/translate-fr-sg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-sg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 780d5931f8a0a7924015beef7cb08185bac99d3798552c160aa5fb3c630817db
- Size of remote file:
- 68.6 MB
- SHA256:
- 1aba75ce2c17759bbe2c6356fa98ab23ebcbf1c6995aaea05fc3921c7dd70502
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.