Instructions to use WindstormLabs/translate-kwn-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-kwn-en 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-kwn-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-kwn-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e95ed233cb05d633bf69122dbe5b96c6a70f01c508c36a05ffe100b68bf9e8d1
- Size of remote file:
- 810 kB
- SHA256:
- 2abace8a15ec6be86ff0031f1c04866734138a1e0c188ff02ca7aa10562a00f3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.