Instructions to use WindstormLabs/translate-nl-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-nl-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-nl-af")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-nl-af", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2106dfc55c222640142968daa9906aaf5b8277d5a3c0e793c0e87b6931134201
- Size of remote file:
- 842 kB
- SHA256:
- 2dbb25f1f0fe457b0998c8a18672fe7dea4a2e695502bd16f522f9b6c0ee3886
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.