Instructions to use WindstormLabs/translate-srn-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-srn-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-srn-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-srn-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a5a9b225d5f53c80335a91b661363a72a33087e6c20ab4dc1ea971b52a5901
- Size of remote file:
- 76.9 MB
- SHA256:
- 40738c04a8a6053ae73fad69f1942c4e745738a33d43f487ac4c21fbaaf69ea0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.