Instructions to use Sin/DialoGPT-small-zai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sin/DialoGPT-small-zai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Sin/DialoGPT-small-zai")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Sin/DialoGPT-small-zai") model = AutoModelForCausalLM.from_pretrained("Sin/DialoGPT-small-zai") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Sin/DialoGPT-small-zai with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sin/DialoGPT-small-zai" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sin/DialoGPT-small-zai", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Sin/DialoGPT-small-zai
- SGLang
How to use Sin/DialoGPT-small-zai with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Sin/DialoGPT-small-zai" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sin/DialoGPT-small-zai", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Sin/DialoGPT-small-zai" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sin/DialoGPT-small-zai", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Sin/DialoGPT-small-zai with Docker Model Runner:
docker model run hf.co/Sin/DialoGPT-small-zai
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b55ca22 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | /*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
package testbufferedreader;
import java.io.*;
/**
*
* @author etudiant
*/
public class TestBufferedReader {
protected String source;
public TestBufferedReader(String source)
{
this.source = source;
lecture();
}
/**
* @param args the command line arguments
*/
public static void main(String[] args) {
// TODO code application logic here
new TestBufferedReader("source.txt");
}
private void lecture()
{
try {
String ligne;
BufferedReader fichier = new BufferedReader(new FileReader(source));
while ((ligne = fichier.readLine())!= null)
{
System.out.println(ligne);
}
fichier.close();
}
catch (Exception e)
{
e.printStackTrace();
}
}
}
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