Instructions to use WindyWord/translate-yap-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yap-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="WindyWord/translate-yap-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yap-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4f49915caebbf2d26f405bf323c7227c0fba31089043be3e9f0c98b5b11e68d
- Size of remote file:
- 841 kB
- SHA256:
- d3a924685647cb3c1a298235c4a6fdb551d9554c916bab2c657cf72b39b9e759
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.