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
Fix: move Merlin-Agent promo after YAML frontmatter
Browse files
README.md
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> 💡 **Check out [Merlin-Agent](https://huggingface.co/Merlin-Research/Merlin-Agent)!** — A quantum-classical 9B coding agent with IBM Heron-baked weights.
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license: apache-2.0
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language:
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pipeline_tag: text-classification
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---
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<div align="center">
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# Q-GPT
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**Pro Mundi Vita**
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</div>
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---
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license: apache-2.0
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language:
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pipeline_tag: text-classification
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---
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> 💡 **Check out [Merlin-Agent](https://huggingface.co/Merlin-Research/Merlin-Agent)!** — A quantum-classical 9B coding agent with IBM Heron-baked weights.
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<div align="center">
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# Q-GPT
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**Pro Mundi Vita**
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</div>
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