Instructions to use GamerMan02/DialoGPT-medium-gamerbot2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GamerMan02/DialoGPT-medium-gamerbot2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GamerMan02/DialoGPT-medium-gamerbot2") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("GamerMan02/DialoGPT-medium-gamerbot2") model = AutoModelForCausalLM.from_pretrained("GamerMan02/DialoGPT-medium-gamerbot2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use GamerMan02/DialoGPT-medium-gamerbot2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GamerMan02/DialoGPT-medium-gamerbot2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GamerMan02/DialoGPT-medium-gamerbot2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/GamerMan02/DialoGPT-medium-gamerbot2
- SGLang
How to use GamerMan02/DialoGPT-medium-gamerbot2 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 "GamerMan02/DialoGPT-medium-gamerbot2" \ --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": "GamerMan02/DialoGPT-medium-gamerbot2", "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 "GamerMan02/DialoGPT-medium-gamerbot2" \ --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": "GamerMan02/DialoGPT-medium-gamerbot2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use GamerMan02/DialoGPT-medium-gamerbot2 with Docker Model Runner:
docker model run hf.co/GamerMan02/DialoGPT-medium-gamerbot2
- Xet hash:
- f694b1c647bbb283f63a9f3424ff7feff75fea6371c415fbfa9288ded64ce948
- Size of remote file:
- 510 MB
- SHA256:
- c88fe24db0108134275ecf515e66958cacdac2405ebeb7bccb34364781e1c0cd
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