Instructions to use rrivera1849/LUAR-CRUD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rrivera1849/LUAR-CRUD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rrivera1849/LUAR-CRUD", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rrivera1849/LUAR-CRUD", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix transformers 5.x compat: add all_tied_weights_keys
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Support for latest transformers
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Adding `safetensors` variant of this model (#1)
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