from transformers import pipeline

# Example query
messages = [
    {"role": "system", "content": "You are an O-RAN expert assistant."},
    {"role": "user", "content": "Explain the E2 interface."},
]

# Load the model
chatbot = pipeline("text-generation", model="NextGLab/ORANSight_Qwen_7B_Instruct")
result = chatbot(messages)
print(result)

Coming Soon

A detailed paper documenting the experiments and results achieved with this model will be available soon. Meanwhile, if you try this model, please cite the below mentioned paper to acknowledge the foundational work that enabled this fine-tuning.

bibtex

@article{gajjar2024oran,
  title={Oran-bench-13k: An open source benchmark for assessing llms in open radio access networks},
  author={Gajjar, Pranshav and Shah, Vijay K},
  journal={arXiv preprint arXiv:2407.06245},
  year={2024}
}