Instructions to use WindstormLabs/translate-en-kj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-kj 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-en-kj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-kj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb44abed82f7b6f85ce63be51f10e00474850f9be509d959f9a0b5152e077bdd
- Size of remote file:
- 664 kB
- SHA256:
- 6391d9ab39d6ebd9ae7c0f476fe0cf85614b0937f2ffa9eb43a3a6c8137e46ab
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