Instructions to use WindstormLabs/translate-sv-kqn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-kqn 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-kqn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-kqn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7eb8ae1f45422094810047ff2fa2d2b70cac95a9c64c8394119bfb21b1764de
- Size of remote file:
- 850 kB
- SHA256:
- dc6917cdceccb0d18bfacc3d971dd7fd1d72dc1be9298ad71d952c9b578b1ad8
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