Instructions to use WindstormLabs/translate-eo-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-ro 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-ro")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-ro", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5c6f1f16ce09500fdfe38162ed62b01031f8b62e1a41ce2b53b41fd6aed1969
- Size of remote file:
- 306 kB
- SHA256:
- 09facd1d9853ca9c9bbe444693146349d712b615a3e156955df521d1ea615e6f
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