Instructions to use WindstormLabs/translate-de-gil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-gil 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-gil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-gil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce615e37ad30d34786e0d765ced8fb60c8e05b2ad6560bc9e9363102049c66f9
- Size of remote file:
- 861 kB
- SHA256:
- ee57e76fff0bc929a2b77fd5ea8db9b6e5da79a0c62a794a18e1510fca6cfab9
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