Instructions to use WindstormLabs/translate-rn-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-rn-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-rn-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a0f549fadd68d9beed00ec960539dedfd22aa1b5b8c58cd41cd22e47815d41c
- Size of remote file:
- 49.7 MB
- SHA256:
- a81dc1b08b58354038e01a28a6cbc22a7db0312a49562d2be01792657ef02cdc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.