Instructions to use WindstormLabs/translate-de-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-vi 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-de-vi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-vi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e7ca33e43d95b8a2fc41451d3bf86be1c875696adb3eacedde51d1741d741ba
- Size of remote file:
- 760 kB
- SHA256:
- bcd58670b83548060bc5535ad849d5c8ed344b684e69de24b8716423e8772d34
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.