How to use from
vLLMInstall from pip and serve model
# Install vLLM from pip:
pip install vllm# Start the vLLM server:
vllm serve "marswallet/supportAI"# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "marswallet/supportAI",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Use Docker
docker model run hf.co/marswallet/supportAIQuick Links
pipeline_tag: text-generation library_name: transformers tags: - gpt2 - text-generation
SupportAI 🤖
SupportAI is a fine-tuned GPT-2 model built to assist users with support and intent understanding tasks.
It can handle short conversations, detect user intent, and provide friendly, helpful replies.
Example
Input:
Author: marswallet
License: MIT
Base Model: GPT-2
Framework: Hugging Face Transformers
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# Gated model: Login with a HF token with gated access permission hf auth login