Instructions to use WindstormLabs/translate-ha-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ha-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-ha-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ha-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89a99a885fbfe33cc5ca07b6b392c2ddb56366134416433b36870f7482d53f59
- Size of remote file:
- 782 kB
- SHA256:
- 51be9adc9d78ef0c38ecadb6be25088619a30fa7f8e2669376bd6dce0d338da2
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