Instructions to use kingabzpro/DialoGPT-small-Rick-Bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kingabzpro/DialoGPT-small-Rick-Bot with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="kingabzpro/DialoGPT-small-Rick-Bot")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kingabzpro/DialoGPT-small-Rick-Bot")
model = AutoModelForCausalLM.from_pretrained("kingabzpro/DialoGPT-small-Rick-Bot")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use kingabzpro/DialoGPT-small-Rick-Bot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kingabzpro/DialoGPT-small-Rick-Bot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kingabzpro/DialoGPT-small-Rick-Bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/kingabzpro/DialoGPT-small-Rick-Bot

SGLang

How to use kingabzpro/DialoGPT-small-Rick-Bot 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 "kingabzpro/DialoGPT-small-Rick-Bot" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kingabzpro/DialoGPT-small-Rick-Bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "kingabzpro/DialoGPT-small-Rick-Bot" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kingabzpro/DialoGPT-small-Rick-Bot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use kingabzpro/DialoGPT-small-Rick-Bot with Docker Model Runner:
```
docker model run hf.co/kingabzpro/DialoGPT-small-Rick-Bot
```

Upload README.md with huggingface_hub

by lbourdois - opened Oct 12, 2022

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-5

Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -1,16 +1,16 @@
 ---
-language: English
-datasets:
-- Andrada Olteanu Rickmorty-Scripts
 tags:
 - conversational
 - Transformers
 - gpt2
 - Chatbot
 - Rick&Morty
-license: apache-2.0
 metrics:
-- Perplexity
 ---
 # Source Code
 [<img src="https://api.flatworld.co/wp-content/uploads/2020/10/DAGsHub-Logo.png" alt="dagshub" width="150"/>](https://dagshub.com/kingabzpro/DailoGPT-RickBot)

 ---
+language: en
+license: apache-2.0
 tags:
 - conversational
 - Transformers
 - gpt2
 - Chatbot
 - Rick&Morty
+datasets:
+- Andrada Olteanu Rickmorty-Scripts
 metrics:
+- Perplexity
 ---
 # Source Code
 [<img src="https://api.flatworld.co/wp-content/uploads/2020/10/DAGsHub-Logo.png" alt="dagshub" width="150"/>](https://dagshub.com/kingabzpro/DailoGPT-RickBot)