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:
- a0baadf12b5b1541be7666da3b59bc95187e40d39b9712dbf1db86559ade497c
- Size of remote file:
- 821 kB
- SHA256:
- e3e020a03c9edbcae1a56a9db2c04ea8c9cfdd883c54f3aa50a5a069a71b2d5b
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