Instructions to use WindstormLabs/translate-sv-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-war 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-sv-war")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-war", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84f101dcac765e0d070ad03e1caa693ab4c2eca9f3ff75598ed366450826a953
- Size of remote file:
- 814 kB
- SHA256:
- 736561782ffe5a9d98901d54d4510de63d45c59fc85b16ffe922471871bf8fd6
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