Instructions to use WindyWord/translate-rn-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-rn-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-rn-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-rn-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea7a4870c3b8e3bfb4fffbbc22eede84390c9abf56e2d54a4050fd8f2f41d1a0
- Size of remote file:
- 307 kB
- SHA256:
- f68185f1231ecd6fba7b9912f360c8c6ab851a0362a30dc030da82a433845387
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.