Instructions to use WindstormLabs/translate-de-ilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ilo 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-ilo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ilo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9800f6bbbd0ca6f413f4f9710e6ed5cc2f5c1ffb0ff67ee75f210ee5f780ecaa
- Size of remote file:
- 77.1 MB
- SHA256:
- 46fed9a7999e22f647d4887653ea8586dc6e18c2a9e23eec92d8e0635404aa19
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