Instructions to use WindstormLabs/translate-es-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-el")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-el", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e9dcbbbc4181df4f714dd316529187ddcf4c98756bc818855d28c512f390345
- Size of remote file:
- 817 kB
- SHA256:
- c288bb8ee610333a11cbef983793e465a334263ecd4a5af059f609a47b02a2d9
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