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:
- e83bc0162fb2b9e28ad4a12c10c614ef9ba03a6ffd35a072f9d8c8f4e5f85e16
- Size of remote file:
- 906 kB
- SHA256:
- 3f79c2fce0637e8130488026087d67807d86e9e79558794912bcd749bfa1b02c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.