Text Classification
Transformers
English
quantum
confidence-estimation
uncertainty
pennylane
gpt-oss
hallucination-detection
Instructions to use squ11z1/Q-GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use squ11z1/Q-GPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="squ11z1/Q-GPT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("squ11z1/Q-GPT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """Q-GPT: Quantum-Enhanced GPT with Confidence Estimation""" | |
| from .quantum_head import ( | |
| QuantumHead, | |
| QuantumCircuit, | |
| QGPT, | |
| load_qgpt, | |
| ) | |
| __version__ = "1.0.0" | |
| __author__ = "squ11z1" | |
| __all__ = [ | |
| "QuantumHead", | |
| "QuantumCircuit", | |
| "QGPT", | |
| "load_qgpt", | |
| ] | |