Instructions to use WindstormLabs/translate-mk-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mk-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mk-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a9a2061cdb99347feef868bbec2b863e8b2727587cbb8a6e260b3cbe763434d
- Size of remote file:
- 78 MB
- SHA256:
- 029494ca3554beea2694c86b2210c4d096112607dc7be4bd56caec2cad81b318
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