Instructions to use WindstormLabs/translate-ja-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-ms 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-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d63db32f4fdf58e0ee5388da6e817e46d2be6a4732923ce354d3e8164489306
- Size of remote file:
- 842 kB
- SHA256:
- 4e406e2a49c9371c70f2b6365807de3cb88162aa1c377fafba121322daa1cd27
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