Instructions to use WindstormLabs/translate-ja-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-he 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-ja-he")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-he", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aba39bcc9fcf7b8ad934df55cc9e8e685339409f906df93f899e444777f0bcd
- Size of remote file:
- 79.5 MB
- SHA256:
- 1e8b0f300dadbcbf3d86242558e0eb35a5e911ba70b263e098273c3b62ed9c37
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