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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aec39639a0a2d1ca966356b8c2b8426a484f80ff80731f44fa8482040713bdf
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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