Instructions to use WindstormLabs/translate-ro-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ro-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-ro-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ro-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d53ba2bc9147016095d08370ecedbe10f3879da572789ad434b053f6466f6bf8
- Size of remote file:
- 49.6 MB
- SHA256:
- ab4a4130a094e8f6ccd6e847e9678b9609514e42f9a81089fe429b1b31aa31ca
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