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@@ -18,7 +18,6 @@ This repo contains **only the model weights** and a **detailed implementation re
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  [https://github.com/DavidA00/Commgpt-final-year-project](https://github.com/DavidA00/Commgpt-final-year-project)
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  ## Usage
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-
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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@@ -28,3 +27,14 @@ tokenizer = AutoTokenizer.from_pretrained("dabboud/Commgpt-3B")
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  generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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  output = generator("What is Nyquist rate?", max_new_tokens=100)
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  print(output[0]["generated_text"])
 
 
 
 
 
 
 
 
 
 
 
 
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  [https://github.com/DavidA00/Commgpt-final-year-project](https://github.com/DavidA00/Commgpt-final-year-project)
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  ## Usage
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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  generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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  output = generator("What is Nyquist rate?", max_new_tokens=100)
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  print(output[0]["generated_text"])
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+
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+ ---
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+ ## Citation
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+ ```latex
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+ @misc{CommGPT2025,
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+ title = {CommGPT: A Domain-Tuned Qwen 2.5-3B Model for Advanced Communication Systems},
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+ author = {Abboud, David and Eid, Alex and Menassa, Alexander and Abou Faycal, Ibrahim and Fahs, Jihad and Zaraket, Fadi and Chokr, Sally},
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+ note = {Model and report available at \url{https://huggingface.co/dabboud/Commgpt-3B}},
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+ year = {2025}
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+ }
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+ ```