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rathi
/
storyGenerator

Text Generation
Transformers
PyTorch
JAX
gpt2
text-generation-inference
Model card Files
xet
 Community
1
How to use from
vLLM
Install from pip and serve model 
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rathi/storyGenerator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "rathi/storyGenerator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker 
docker model run hf.co/rathi/storyGenerator
Quick Links

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

This is a genre-based Movie plot generator.

For best results, structure the input as follows -

  1. Add a <BOS> tag in the start.
  2. Add a <genre> tag (with the genre as a placeholder for lowercased genres such as <action>, <romantic>, <thriller>, <comedy>
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