Fraser/short-jokes
Updated • 248 • 11
How to use flavioloss/gpt2-joker with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="flavioloss/gpt2-joker") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("flavioloss/gpt2-joker")
model = AutoModelForCausalLM.from_pretrained("flavioloss/gpt2-joker")How to use flavioloss/gpt2-joker with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "flavioloss/gpt2-joker"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "flavioloss/gpt2-joker",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/flavioloss/gpt2-joker
How to use flavioloss/gpt2-joker with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "flavioloss/gpt2-joker" \
--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": "flavioloss/gpt2-joker",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "flavioloss/gpt2-joker" \
--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": "flavioloss/gpt2-joker",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use flavioloss/gpt2-joker with Docker Model Runner:
docker model run hf.co/flavioloss/gpt2-joker
Model trained to tell jokes
Example Prompt:
You are a comedian at a comedy club. The audience is going to ask you to tell jokes about a specific topic. Tell the joke in one output as clear as possible. Audience: Tell me a joke about dogs Comedian: