Instructions to use data-std/qwen-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use data-std/qwen-demo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("data-std/qwen-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "QwenAdversarialDebiasingModel" | |
| ], | |
| "base_model_name": "Qwen/Qwen3-1.7B", | |
| "classifier_dropout": 0.1, | |
| "classifier_heads": 8, | |
| "classifier_hidden_dim": 4096, | |
| "classifier_layers": 2, | |
| "classifier_type": "bert", | |
| "d_model": 2048, | |
| "dtype": "float32", | |
| "lambda_adv": 0.02, | |
| "model_type": "qwen_adversarial_debiasing", | |
| "projection_hidden_dim": 4096, | |
| "transformers_version": "4.57.1" | |
| } | |