Instructions to use WindyWord/translate-eo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-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="WindyWord/translate-eo-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6486d2cc002cd83b2f580b7cc38da974a993bb25f428de25eca5fa40bf21df8
- Size of remote file:
- 49.6 MB
- SHA256:
- e16f2b73de0ddd5e57e4a10c0b3f5abdcaeaf10f0903ab91c07edba450e7dede
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