Instructions to use WindstormLabs/translate-ve-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ve-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-ve-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ve-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 683277806d2743f7f5c657cc1a2cbb3aa09b6f51b1a6088557e9f026d6014665
- Size of remote file:
- 748 kB
- SHA256:
- 35cca9522ceb0aac8085a1dc56b91f24126403bd90d77519d73c98f05a3dd44b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.