Reinforcement Learning
Transformers
Safetensors
qwen3
text-generation
boolean-queries
systematic-review
information-retrieval
pubmed
grpo
chain-of-thought
text-generation-inference
Instructions to use ielabgroup/Autobool-Qwen4b-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/Autobool-Qwen4b-Reasoning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ielabgroup/Autobool-Qwen4b-Reasoning") model = AutoModelForCausalLM.from_pretrained("ielabgroup/Autobool-Qwen4b-Reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- **Domain:** Biomedical literature search (PubMed)
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- **Task:** Boolean query generation for high-recall retrieval
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## Training Details
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The model was trained using:
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- **Domain:** Biomedical literature search (PubMed)
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- **Task:** Boolean query generation for high-recall retrieval
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## 🚀 Interactive Demo
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Try out our query generation models directly in your browser! The demo allows you to test our different reasoning strategies (Standard, Conceptual, Objective, and No-Reasoning) in real-time.
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[](https://huggingface.co/spaces/wshuai190/AutoBool-Demo)
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* **Live Demo:** [AutoBool on Hugging Face Spaces](https://huggingface.co/spaces/wshuai190/AutoBool-Demo)
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## Training Details
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The model was trained using:
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