Instructions to use WindstormLabs/translate-de-ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ee 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-ee")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ee", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae00761b029ccad72526568017ad203cdc60ec3882d0a4c9e0951a544ca2997c
- Size of remote file:
- 77.1 MB
- SHA256:
- 7c3443a5836d8dfdd30436ed081f72cc4fd5a76eca3a2e561e7a9d708cceac6f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.