Instructions to use LACAI/DialoGPT-small-SGD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LACAI/DialoGPT-small-SGD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LACAI/DialoGPT-small-SGD")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LACAI/DialoGPT-small-SGD") model = AutoModelForCausalLM.from_pretrained("LACAI/DialoGPT-small-SGD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use LACAI/DialoGPT-small-SGD with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LACAI/DialoGPT-small-SGD" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LACAI/DialoGPT-small-SGD", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LACAI/DialoGPT-small-SGD
- SGLang
How to use LACAI/DialoGPT-small-SGD 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 "LACAI/DialoGPT-small-SGD" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LACAI/DialoGPT-small-SGD", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "LACAI/DialoGPT-small-SGD" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LACAI/DialoGPT-small-SGD", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LACAI/DialoGPT-small-SGD with Docker Model Runner:
docker model run hf.co/LACAI/DialoGPT-small-SGD
- Xet hash:
- 8f7c3eb9060fd4337440dfd70bf98fecfd17507c0250e79634045c07439f6ef7
- Size of remote file:
- 510 MB
- SHA256:
- ac370124fe5154f34ff45b451d3f0d68168483f87e18f4ae9133f1ec3955e405
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.