Instructions to use WindstormLabs/translate-tll-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tll-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-tll-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tll-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ff332fc0ea804f3e86ada54faa2709a2fa30e7f7d1ba462416846862a8a9c5b
- Size of remote file:
- 828 kB
- SHA256:
- 88f7b9720b48da7b43dcb73ef5fc96ebe6c5a488e01dad44434ac3dc115bdabb
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