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