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:
- 4cb0c185c96e130afabea5125e5d1351762dae63f41ee97d7080cb21b4765ca7
- Size of remote file:
- 303 kB
- SHA256:
- 88e52901ebe5e94028e4a62dd555c5dc06dcb1b33decaa67b807d456b77dd62a
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