---
language: code
tags:
- code
- gpt2
- generation
datasets:
- lvwerra/codeparrot-clean-train
widget:
- text: from transformer import
  example_title: Transformers
- text: "def print_hello_world():\n\t"
  example_title: Hello World!
- text: 'def get_file_size(filepath):'
  example_title: File size
- text: import numpy as
  example_title: Numpy
model-index:
- name: codeparrot
  results:
  - task:
      name: Code Generation
      type: code-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - name: pass@1
      type: code_eval
      value: 3.14
    - name: pass@10
      type: code_eval
      value: 8.69
    - name: pass@100
      type: code_eval
      value: 17.88
  - dataset:
      name: HumanEval!
      type: openai_humaneval
    metrics:
    - name: pass@1
      type: code_eval
      value: 3.17
    task:
      name: Code Generation
      type: code-generation
---

# This is a test