Instructions to use superfluidic/agent-orchestrator-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superfluidic/agent-orchestrator-expert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("superfluidic/agent-orchestrator-expert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1513210f64796127a6e0a11f88e04f1d530c2601dea12f1e96852aebcbcc7599
- Size of remote file:
- 15.5 MB
- SHA256:
- 382cc235b56c725945e149cc25f191da667c836655efd0857b004320e90e91ea
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