Instructions to use WindstormLabs/translate-de-loz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-loz 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-loz")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-loz", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 460a8ee41ad9a447bdc38b0d1bc63c581f37b66a779769cf01c5b766e666e61f
- Size of remote file:
- 866 kB
- SHA256:
- ba3d4799ebfdfe8719fe1296c7b84a1dc20f876ff6f3a99953eba4d65c8d3943
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