Instructions to use WindstormLabs/translate-no-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-no-no 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-no-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-no-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- def638036f4a41954d15c8ad5ab0f03515338349dbc58b05062925f3b425ac41
- Size of remote file:
- 47.8 MB
- SHA256:
- 535c2fe515919d5e4f4c4b039f53f7c9304adb10077621584c30f8de381f38c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.