Instructions to use WindstormLabs/translate-ja-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-da 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-da")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-da", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbe7bab12ad0e07c7f87fd79ac14b320c0b06ebfd622eb2462c5a5b5f401969f
- Size of remote file:
- 79.3 MB
- SHA256:
- 925ebeee9960f9f8a0e89a4a28912bab40f204f9c44a86ba877afb073871fc2c
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