Instructions to use WindstormLabs/translate-de-ny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ny 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-de-ny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fef7a6eb26141a6422cc05e8d6a7bfe17698348162ef7d28b7ecbd08e3fabbd8
- Size of remote file:
- 842 kB
- SHA256:
- d552b2421bf77fe32805fa14cf365df94ab877fc3696de585fd69c49837815e9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.