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:
- fd8c58fe1ccca399c808b02384ee86205c25e6fd0600ae682630c45dacae0c62
- Size of remote file:
- 79.5 MB
- SHA256:
- 58bae7689f4123d140afac7203e80dec46b3ee88c7b3e313629913dcb87bd523
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.