Instructions to use WindstormLabs/translate-ko-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ko-de 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-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ko-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9b71358dfb8620d940bf226c0fcc241a8e64ae03ea565f066bb42ceed962626
- Size of remote file:
- 838 kB
- SHA256:
- e3d6cb277cf4f65e1a225f2d763c7423c59e6969d2846cf44d977a5bb3b7f23f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.