Instructions to use WindstormLabs/translate-fr-ilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-ilo 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-ilo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-ilo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9327fe4d96642bbe0a8ea36abc0aa2385b0b0b554ab5a8b879f14b3c0dcfbb6e
- Size of remote file:
- 844 kB
- SHA256:
- 1acc1d7cf9a3f187f624bbc27453f6c023ed119c9c8555d25914834cc2919c31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.