Instructions to use WindstormLabs/translate-mt-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mt-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-mt-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mt-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11fec347f3d5b8a537371674fc7595ca9c4014863d5a37de0b4527cd35f45baa
- Size of remote file:
- 823 kB
- SHA256:
- 445ddf9ad3808e122d33292ee4d9bb364bf969bffe8a5d6c4ecea4e1aa75d777
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