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

Libraries

How to use AriakimTaiyo/DialoGPT-small-Rikka with Transformers:

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

pipe = pipeline("text-generation", model="AriakimTaiyo/DialoGPT-small-Rikka")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AriakimTaiyo/DialoGPT-small-Rikka")
model = AutoModelForCausalLM.from_pretrained("AriakimTaiyo/DialoGPT-small-Rikka", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AriakimTaiyo/DialoGPT-small-Rikka with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/AriakimTaiyo/DialoGPT-small-Rikka

SGLang

How to use AriakimTaiyo/DialoGPT-small-Rikka 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 "AriakimTaiyo/DialoGPT-small-Rikka" \
    --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": "AriakimTaiyo/DialoGPT-small-Rikka",
		"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 "AriakimTaiyo/DialoGPT-small-Rikka" \
        --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": "AriakimTaiyo/DialoGPT-small-Rikka",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AriakimTaiyo/DialoGPT-small-Rikka with Docker Model Runner:
```
docker model run hf.co/AriakimTaiyo/DialoGPT-small-Rikka
```

DialoGPT-small-Rikka

Commit History

Mar 19, 2023

14:09
Adding `safetensors` variant of this model⁠

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Feb 4, 2022

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initial commit

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Commit History

Mar 19, 2023

Adding `safetensors` variant of this model⁠

Feb 4, 2022

Upload pytorch_model.bin with git-lfs

Upload config.json

Upload special_tokens_map.json

Upload tokenizer_config.json

Upload vocab.json

Upload merges.txt

Upload tokenizer.json

Upload training_args.bin with git-lfs

Upload eval_results.txt

Create README.md

initial commit