Instructions to use WindstormLabs/translate-tn-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tn-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-tn-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tn-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d324f53d0bbaf8e508ee96e636bc3b08149bddd6e1b8c17835a63e5d4b73fe6b
- Size of remote file:
- 829 kB
- SHA256:
- dc30bb3ac7f54953494a0f9995897f5f455a91453327f7c75066191b41c144bb
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