Instructions to use Vitafeu/DialoGPT-medium-ricksanchez with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vitafeu/DialoGPT-medium-ricksanchez with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Vitafeu/DialoGPT-medium-ricksanchez") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Vitafeu/DialoGPT-medium-ricksanchez") model = AutoModelForCausalLM.from_pretrained("Vitafeu/DialoGPT-medium-ricksanchez") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Vitafeu/DialoGPT-medium-ricksanchez with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Vitafeu/DialoGPT-medium-ricksanchez" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vitafeu/DialoGPT-medium-ricksanchez", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Vitafeu/DialoGPT-medium-ricksanchez
- SGLang
How to use Vitafeu/DialoGPT-medium-ricksanchez 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 "Vitafeu/DialoGPT-medium-ricksanchez" \ --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": "Vitafeu/DialoGPT-medium-ricksanchez", "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 "Vitafeu/DialoGPT-medium-ricksanchez" \ --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": "Vitafeu/DialoGPT-medium-ricksanchez", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Vitafeu/DialoGPT-medium-ricksanchez with Docker Model Runner:
docker model run hf.co/Vitafeu/DialoGPT-medium-ricksanchez
- Xet hash:
- 2e634835fa07d91cdd9fa15023f18f08298e24a2c85f802376cc1a79e10f0a89
- Size of remote file:
- 1.33 kB
- SHA256:
- a94e01f14186e49a4cd81b8a099c1983ed4acca0d937a72e6cf8e2fceaa61936
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