metadata
library_name: transformers
tags: []
Model Card for StarCoderCodeQ&A
This is a version of StarCoder model that was fine-tuned on the grammatically corrected texts.
Model Details
Model Description
- Model type: GPT-2
- Number of Parameters: 15.5B
- Supported Programming Language: Python
- Finetuned from model: StarCoder
Model Sources [optional]
- Repository: GitHub Repo
- Paper: "Leveraging Large Language Models in Code Question Answering: Baselines and Issues" Georgy Andryushchenko, Vladimir V. Ivanov, Vladimir Makharev, Elizaveta Tukhtina, Aidar Valeev
How to Get Started with the Model
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('datapaf/StarCoderCodeQnA')
model = AutoModelForCausalLM.from_pretrained(checkpoint, device_map="cuda")
code = ... # Your Python code snippet here
question = ... # Your question regarding the snippet here
prompt_template = "Question: {question}\n\nCode: {code}\n\nAnswer:"
prompt = prompt_template.format(question=ex['question'], code=ex['code'])
inputs = tokenizer.encode(prompt, return_tensors="pt").to('cuda')
outputs = model.generate(inputs, max_new_tokens=512, pad_token_id=tokenizer.eos_token_id)
text = tokenizer.decode(outputs[0])
print(text)