Instructions to use WindstormLabs/translate-ko-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ko-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-ko-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ko-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d34b3ed73ab71b70bc3be9588b75879907dccc7a56017e725cfad66ed866bf88
- Size of remote file:
- 842 kB
- SHA256:
- c9496f7c2be9aecb84c751ae9f35a875915dde8e3892f652a5c76811ab2a0f49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.