Instructions to use WindstormLabs/translate-es-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-ro")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ro", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e81063aa3c213941886bd7b56fd7b3ec7bf59f503bda051b7f08741f2accf95b
- Size of remote file:
- 812 kB
- SHA256:
- 4b86bd10c84fba8c526494b057f6e7724bc22eebf74fb41124295fd07590ccff
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