Instructions to use WindstormLabs/translate-ht-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ht-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-ht-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ht-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c04a4f0f105c2433a84e96ddf639e22dec44dabddab47923aa9cabf7b0ed95ef
- Size of remote file:
- 570 kB
- SHA256:
- 3733e27753ba408ea560808adeb53b3035eab038d67735d318d29cd36f97e235
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