Instructions to use WindstormLabs/translate-el-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-el-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-el-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-el-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d6dc85d43f709d9be19a7a779d8c18586ec42863c70423fd82970f4da9d8eac
- Size of remote file:
- 1.01 MB
- SHA256:
- 9133e4e9e441f63d7d6d172324314fab5458af4586bc3fe1340bf3de4eedafe3
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