metadata
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
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.