Instructions to use WindstormLabs/translate-pl-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pl-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-pl-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pl-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08f42652137e40575a14b136713dd34c3db12ab25fd97ab51eac61fbb0c26bcd
- Size of remote file:
- 841 kB
- SHA256:
- c17e2806dade613de666693579fe00164216963bf70aa510d085cfb5f685296a
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