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秒杀自动编码Copilot！「动嘴编程」神器StarChat开源，码农狂喜( 五 )

Copilot


pip install -r requirements.txt 
需要登录到两个Hugging Face 。要做到这一点，请运行：
huggingface-cli login 
最后，用以下方法安装Git LFS：
sudo apt-get install git-lfs 
最终一步是启动训练！如果你足够幸运，有8个A100（80GB）GPU来运行这个摸牌行，你可以运行以下命令 。训练应该需要45分钟左右：
torchrun --nproc_per_node=8 train.py config.yaml --deepspeed=deepspeed_z3_config_bf16.json 
这里的config.yaml文件指定了与数据集、模型和训练相关的所有参数 。你可以在这里进行配置，可以让模型训练适应新的数据集 。然后你的训练模型就可以在Hub上使用了！
编码助手StarCoder诞生
生成图表
研究人员想看看自己的模型如何完成基本的可视化任务，就像GPT-4的Tikz中著名的独角兽图一样 。

秒杀自动编码Copilot！「动嘴编程」神器StarChat开源，码农狂喜

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为了做到这一点，研究人员用一些编码任务来提示模型，并得到了很好的结果！
不得不承认，这些结果有点偷梁换柱，因为他们只选择了写出正常运行的代码，但其他的也差不了多少 。
式例1：柱状图
提示：
Give the following data {'Name':['Tom', 'Brad', 'Kyle', 'Jerry'], 'Age':[20, 21, 19, 18], 'Height' : [6.1, 5.9, 6.0, 6.1]}. Can you plot one graph with two subplots as columns. The first is a bar graph showing the height of each person. The second is a bargraph showing the age of each person? Draw the graph in seaborn talk mode.
回应：
import pandas as pdimport matplotlib.pyplot as plt%matplotlib inlineplt.style.use('seaborn-talk')
data = https://www.isolves.com/it/cxkf/bk/2023-05-15/{'Name':['Tom', 'Brad', 'Kyle', 'Jerry'],'Age':[20, 21, 19, 18],'Height':[6.1, 5.9, 6.0, 6.1]}
df=pd.DataFrame(data)
Bar Graph for Height and Agefig,(ax1, ax2)=plt.subplots(nrows=1, ncols=2, figsize=(14,7))sns.barplot(x='Name', y="Height", data=https://www.isolves.com/it/cxkf/bk/2023-05-15/df, palette="Blues_d", ax=ax1).set_title("Height Comparison")sns.barplot(x='Name',y ="Age", data=https://www.isolves.com/it/cxkf/bk/2023-05-15/df,palette="Reds_d", ax=ax2 ).set_title("Age Comparison")
# Add padding between plotsfig.tight_layout()
Show the final imageplt.show() 
秒杀自动编码Copilot！「动嘴编程」神器StarChat开源，码农狂喜

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示例2：绘图
提示：
Draw me a map of the world using geopandas. Make it so that only Germany and Spain are colored red. 
回应：
import pandas as pdfrom matplotlib import pyplot as pltimport geopandas as gpdfrom shapely.geometry import Point, Polygon%matplotlib inlineLoad data from URL or local fileurl = 'https://raw.githubusercontent.com/datasets/geo-countries/master/data/countries.geojson'df = gpd.read_file(url)
Create plotfig, ax = plt.subplots()ax.set_aspect('equal')world = gpd.GeoDataFrame({'name': ['World'],'geometry': [Polygon([(0, 0), (1, 0), (1, 1), (0, 1)])]})germany = df[df['ADMIN'] == "Germany"]spain = df[df['ADMIN'] == "Spain"]other = df[(df['ADMIN']!= "Germany") & (df['ADMIN']!= "Spain")]world.plot(color='lightgrey', edgecolor='white', ax=ax)germany.plot(color="red", ax=ax)spain.plot(color="red", ax=ax)other.plot(color="skyblue", ax=ax)plt.title("European Countries")plt.show() 
秒杀自动编码Copilot！「动嘴编程」神器StarChat开源，码农狂喜

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示例3：篮球
提示：
There was a basketball game with the following stats. player, points, rebounds and assists: J. Harden 42 8 9 J. Embiid 34 13 4 T. Maxey 14 8 1 T. Harris 9 7 2 P. Tucker 6 3 1. Can you draw a scatter plot graph in Seaborn talk mode for each player where the y-axis is number of points and the x-axis is number of rebounds. Make sure the marker is 'o'. Put the name of the player over each point. The title should be "Sixers Players".


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