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vikp
/
texify2

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Transformers
Safetensors
vision-encoder-decoder
Model card Files
xet
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How to use from
vLLM
Install from pip and serve model 
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vikp/texify2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vikp/texify2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker 
docker model run hf.co/vikp/texify2
Quick Links

To be used with texify. Set MODEL_CHECKPOINT=vikp/texify2

Note that this is a testing checkpoint that most people won't want to use. The correct checkpoint is vikp/texify. I'm leaving this up since I know it is used in a few places.

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