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:
- b837ccc2b29aed6d973b1e5a25c87ad03ed3cc8d402bfa18c9c1e9fbf24f2182
- Size of remote file:
- 1 MB
- SHA256:
- 27cb4241dbbbba2fa3dffa9e085b5233f374b22a96c03aa71f545353b7f1f0ca
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