Instructions to use WindstormLabs/translate-de-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-lt 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-lt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-lt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb139fdfd647e198bb052b28ca7af64e05a736ab708976aad6005e157b4fdc38
- Size of remote file:
- 827 kB
- SHA256:
- b6fd5caf4bb999755888aedb9bc1a71494084c4f3cb7ee1cd71a8e740b0b9453
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