Instructions to use WindstormLabs/translate-es-mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-mk 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-es-mk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-mk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af914679e528becaf1f549b5766ee77ccbf4fa61a874ee8a3a12c0158c461f86
- Size of remote file:
- 826 kB
- SHA256:
- 935cdb4a94641dca85acad2e7fdc703724250f1855dce34d32f9e5caed0d1716
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