Instructions to use WindstormLabs/translate-ja-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-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-ja-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5da4d85a294b7fc63b71b11faf75dd32c200062d75e94a74b4ae2b990240a869
- Size of remote file:
- 77.3 MB
- SHA256:
- a41fa22e371e162f2b32ba0e22ca0c7fcdae8baf10598a9f4093c1662105f72f
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