Instructions to use WindstormLabs/translate-he-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-he-eo 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-he-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-he-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f4dd34a698ff90fc0ce74a861334a5e87dc325bf0be23253736d3b63f398fce
- Size of remote file:
- 49.8 MB
- SHA256:
- 582702744411ea1cc16f6c00214f794a73c7a840a6de1085fb4c476c9d008526
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.