Instructions to use AlbedoAI/DialoGPT-medium-Albedo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlbedoAI/DialoGPT-medium-Albedo with Transformers:

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

pipe = pipeline("text-generation", model="AlbedoAI/DialoGPT-medium-Albedo")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlbedoAI/DialoGPT-medium-Albedo")
model = AutoModelForCausalLM.from_pretrained("AlbedoAI/DialoGPT-medium-Albedo")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use AlbedoAI/DialoGPT-medium-Albedo with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/AlbedoAI/DialoGPT-medium-Albedo

SGLang

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

Docker Model Runner
How to use AlbedoAI/DialoGPT-medium-Albedo with Docker Model Runner:
```
docker model run hf.co/AlbedoAI/DialoGPT-medium-Albedo
```

DialoGPT-medium-Albedo

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---
tags:
- conversational
---

# Albedo Medium DialoGPT Model Casual

This model does not do well with short greetings. But it can handle question and answer types of conversations most of the time.

It is trained on Albedo's dialogues from his story quests [Princeps Cretaceus Chapter](https://genshin-impact.fandom.com/wiki/Princeps_Cretaceus_Chapter) and [Shadows Amidst Snowstorms Event Story](https://genshin-impact.fandom.com/wiki/Shadows_Amidst_Snowstorms/Story)

Socials
- Twitter: [@tofuboy05](https://twitter.com/tofuboy05) (Creator)
- Tiktok: [@tofuboyart](https://www.tiktok.com/@tofuboyart)
- HoYoLAB: [TofuBoy](https://www.hoyolab.com/accountCenter/postList?id=78394798)