Instructions to use WindstormLabs/translate-ja-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e87c6714dc26f9745ebfff45f96e32b9d09d8d2e261acf6fc61c3ca9e06f6f64
- Size of remote file:
- 829 kB
- SHA256:
- 981ffc3205f62084cd5b0d6db0f110c2cfa17a3d8822d6708582998308f298f4
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