Cars Computer Vision Project
https://vc.ru/u/1389654-machine-learning/603401-kak-ustanovit-chatgpt-na-kompyuter-v-2023-godu
login demidon666777@gmail.com psw: 1q2w3e4r5t
import openai
Set the API key
openai.api_key = "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"
Use the ChatGPT model to generate text
response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Who won the world series in 2020?"}, {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."}, {"role": "user", "content": "Where was it played?"} ] ) print(response.choices[0].message.content)
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cars-wdj1f_dataset,
title = { Cars Dataset },
type = { Open Source Dataset },
author = { Lapi },
howpublished = { \url{ https://universe.roboflow.com/lapi/cars-wdj1f } },
url = { https://universe.roboflow.com/lapi/cars-wdj1f },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-05-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Cars project in your project.