Instructions to use UofTCSSLab/SIREN-Qwen3-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UofTCSSLab/SIREN-Qwen3-0.6B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UofTCSSLab/SIREN-Qwen3-0.6B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "siren", | |
| "siren_id": "siren-qwen3-0.6b", | |
| "base_model": "Qwen/Qwen3-0.6B", | |
| "base_model_revision": "c1899de289a04d12100db370d81485cdf75e47ca", | |
| "base_model_type": "qwen3", | |
| "num_parameters": 12300000, | |
| "library_runtime": "llm-siren", | |
| "_note": "Lightweight SIREN classifier head. Load via `from siren_guard import SirenGuard` (pip install llm-siren). This file exists to enable Hugging Face download tracking; the runtime config is siren_config.json." | |
| } | |