Instructions to use WindstormLabs/translate-en-jap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-jap 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-en-jap")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-jap", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0806126b2b0abab382f60052949adb0055407ee5927d3cb62daeedf0ba073867
- Size of remote file:
- 509 kB
- SHA256:
- 375cbed8885a6d369e0493acfc69a066010a86f98f9bac02430cbeb1726934a6
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