Instructions to use WindstormLabs/translate-fr-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-en 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-fr-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc21a53c250d5bced13fc937479c3fb6edae5a62ccfb18ef7539a311a69c328b
- Size of remote file:
- 802 kB
- SHA256:
- 78d0e717c77053f1c4b856d8661d9cb87c64f083a35418c087b9146300e4f585
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.