Instructions to use WindstormLabs/translate-ro-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ro-sv 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-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ro-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84840b3b78d3f580bdd198f74720136166ec8bfb157c9100d741efbfc1e21ab9
- Size of remote file:
- 812 kB
- SHA256:
- 2db6d9be5512c56ee0bcd2bf66a4ab89284b27c01e8f7d19a2795e5a65d2df6e
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