RadonSAI is a variant of the Radon model family, based on the GPT2LMHeadModel architecture.
1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3tokenizer = AutoTokenizer.from_pretrained("MagistrTheOne/RadonSAI")
4model = AutoModelForCausalLM.from_pretrained("MagistrTheOne/RadonSAI")
5
6prompt = "Hello, how are you?"
7inputs = tokenizer(prompt, return_tensors="pt")
8outputs = model.generate(**inputs, max_new_tokens=50)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))
If you use this model, please cite the original source model and the Radon project.
