Instructions to use WindstormLabs/translate-en-nso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-nso 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-en-nso")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-nso", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9d3efa24a6d294b92256e24aa26380ad46a3a2e1a4fb6da5376b48335fd7d2c
- Size of remote file:
- 823 kB
- SHA256:
- e3ca7deaf1f7251cacee1233e157a9326639bc0c7209bab9589c82173a2b7e24
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.