Instructions to use WindstormLabs/translate-chk-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-chk-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-chk-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-chk-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51da56f33a9703793c89edefd25e01ce9cd7ec70bf580890efb351196e958cc9
- Size of remote file:
- 841 kB
- SHA256:
- 9e812b9184e7dc08190c15cc4d7592b0812910437aee64c3ab33594e91da97f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.