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:
- 7ea744c7743218af49480b7ec77205d453ae9c8cc4f86f020e80865048fead90
- Size of remote file:
- 77.1 MB
- SHA256:
- 130c4073e90c8dc4cda8db94a3c5880b4d3797d09da6127c4d7b716c32d26304
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