RadonSAI-Pretrained

Overview

RadonSAI-Pretrained is a variant of the Radon model family, based on the GPT2LMHeadModel architecture.

Model Details

• Source Model: microsoft/DialoGPT-medium
• Architecture: GPT2LMHeadModel
• Parameters: 355M
• Model Type: gpt2

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MagistrTheOne/RadonSAI-Pretrained")
model = AutoModelForCausalLM.from_pretrained("MagistrTheOne/RadonSAI-Pretrained")

prompt = "Hello, how are you?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Model Information

• Languages: English, Russian
• License: Apache 2.0
• Format: Safetensors
• Library: Transformers

Citation

If you use this model, please cite the original source model and the Radon project.