Instructions to use WindstormLabs/translate-sv-ha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-ha 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-ha")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-ha", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1320b7de19238e79af556d1d01aa2cf2d95a2e7f19b2ed463618757b36263ef
- Size of remote file:
- 76.4 MB
- SHA256:
- 3dc9c4dd1ecf8c837cbae65c58a1bb5a4054be8915a68f434a32ae8ab434b285
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