Instructions to use WindstormLabs/translate-he-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-he-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-he-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-he-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19783b639aec5043519f139199f8973d7002b4f89c0c606c6259b00464a4e65
- Size of remote file:
- 894 kB
- SHA256:
- d639438bfdc97d10f595d7d7cb20b955eb4481facbd2f9ed950684bc279e6f32
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