Instructions to use WindstormLabs/translate-ee-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ee-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-ee-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ee-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c6a50044eb9330c872c912d772251b809392d7a8b12f54c1310a468839acd65
- Size of remote file:
- 75.7 MB
- SHA256:
- a074709441a496428d2ff3bbd837cfc6c755b16ce553c3f6db0a726895cc13b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.