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:
- 1c61d25814463c9b392b9253f5578c0c1630359401f1ee53dbc269b9a365a221
- Size of remote file:
- 6.29 kB
- SHA256:
- 0bcd14d9d644ad0ae2300377895b90c58040ae82fd785ef236d6ff1a86b00026
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