Question Answering
Transformers
Safetensors
English
qwen3
text-generation
rule-based reasoning
text-generation-inference
Instructions to use RuleReasoner/RuleReasoner-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RuleReasoner/RuleReasoner-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RuleReasoner/RuleReasoner-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RuleReasoner/RuleReasoner-8B") model = AutoModelForCausalLM.from_pretrained("RuleReasoner/RuleReasoner-8B") - Notebooks
- Google Colab
- Kaggle
Improve model card (pipeline tag, add Github link)
#2
by nielsr HF Staff - opened
This PR improves the model card by changing the pipeline tag to text-generation to improve discoverability. It also adds a link to the Github repository for the project.