Instructions to use WindstormLabs/translate-eo-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-el 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-eo-el")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-el", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36d8c42893c82015dbae7fcb3329228bdef2ece2083eb67021cd7565263861de
- Size of remote file:
- 322 kB
- SHA256:
- dc843dfefe3d77b3052fde190d25a1e21abd80716f3e50536bec6a21362e1907
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