Instructions to use WindstormLabs/translate-de-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-af 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-af")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-af", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 971dccbde4e87bc054a57d92bbf15acdb71f6962ac67e32a687958404b6cbfd4
- Size of remote file:
- 832 kB
- SHA256:
- 021e283c344d339514a0105db95797cc2b7c4f69684da52492af02ec1a6451b5
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