---
base_model: gpt2-large
inference:
  parameters:
    do_sample: true
    max_new_tokens: 256
    temperature: 0.7
    top_p: 0.9
language:
- en
- ru
library_name: transformers
license: apache-2.0
model_type: gpt2
pipeline_tag: text-generation
tags:
- safetensors
- text-generation
- conversational
- machine-learning
- nlp
- transformer
- russian
- english
- gpt2
- large
---

# RadonSAI

## Overview
RadonSAI is a variant of the Radon model family, based on the GPT2LMHeadModel architecture.

## Model Details
- **Source Model**: gpt2-large
- **Architecture**: GPT2LMHeadModel
- **Parameters**: 772.2M
- **Model Type**: gpt2

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

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

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.