Instructions to use WindstormLabs/translate-mk-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mk-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-mk-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mk-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a71a393edf9882ee2287bbdafc6b162da74695ad675d4d7c81cf6ab1396b97b0
- Size of remote file:
- 78 MB
- SHA256:
- c270268f8cd69013a7b575d8d03afa6a9f07de5e5b91974d2e188954a1a9805e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.