Instructions to use Filosofas/DialoGPT-medium-PALPATINE2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Filosofas/DialoGPT-medium-PALPATINE2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Filosofas/DialoGPT-medium-PALPATINE2") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Filosofas/DialoGPT-medium-PALPATINE2") model = AutoModelForCausalLM.from_pretrained("Filosofas/DialoGPT-medium-PALPATINE2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Filosofas/DialoGPT-medium-PALPATINE2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Filosofas/DialoGPT-medium-PALPATINE2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Filosofas/DialoGPT-medium-PALPATINE2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Filosofas/DialoGPT-medium-PALPATINE2
- SGLang
How to use Filosofas/DialoGPT-medium-PALPATINE2 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 "Filosofas/DialoGPT-medium-PALPATINE2" \ --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": "Filosofas/DialoGPT-medium-PALPATINE2", "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 "Filosofas/DialoGPT-medium-PALPATINE2" \ --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": "Filosofas/DialoGPT-medium-PALPATINE2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Filosofas/DialoGPT-medium-PALPATINE2 with Docker Model Runner:
docker model run hf.co/Filosofas/DialoGPT-medium-PALPATINE2
- Xet hash:
- 680a9cdcd6c45cc33d372b30cc6034b1a9c8080b77d012b2744becafaa261b8d
- Size of remote file:
- 1.44 GB
- SHA256:
- aa5a1c1ad52054d94e2f2532758aac05b183a873b86c2d19b36ea2512c379a23
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