Instructions to use WindstormLabs/translate-jap-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-jap-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-jap-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-jap-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c82370771cbebbfe2951bb057e180d8176d5c8028ceff178d52909779d1e08dc
- Size of remote file:
- 1.02 MB
- SHA256:
- 7d5ec21daca7dccb7a9df371b699def40ddd9d0c24cef855e44e31a39b96af55
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