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
```

AlbedoAI commited on Aug 14, 2022

Commit

cd39afd

1 Parent(s): 70047d1

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@@ -3,4 +3,13 @@ tags:
 - conversational
 ---
-# Albedo Medium DialoGPT Model Casual

 - 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)
+- Twitter: [@AlbedoAI](https://twitter.com/AlbedoAI)
+- HoYoLAB: [TofuBoy](https://www.hoyolab.com/accountCenter/postList?id=78394798)