Instructions to use uzabase/UBKE-LUKE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzabase/UBKE-LUKE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="uzabase/UBKE-LUKE", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("uzabase/UBKE-LUKE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51f5e092642099f6c2c75a222853777c64649f5b506ec8cda70daded0241aaae
- Size of remote file:
- 557 MB
- SHA256:
- ceeaeba1ec7d3c601585e783e3ad36f08de5ced33b668be41c2f6b98d7a95165
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