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:
- 05e9fa226c65f0c61a83a4b9d45d8f00383055be051e1b611a2350ba6a68573a
- Size of remote file:
- 1 MB
- SHA256:
- f65d82a83500d24488ad6ec82b25c51f15d17287efad4d78507e5bf5a6fd28a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.