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:
- ea307fea13961b52ce650a15f0e9fa91bfe26c99dec7268bebae7133dec29531
- Size of remote file:
- 858 kB
- SHA256:
- 2f63b0264fd07df7cdfa24825d225fce38aa8e1fdb7b381a4df8ab4bb6dc76cf
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