Instructions to use Disty0/Florence-2-base-PromptGen-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Disty0/Florence-2-base-PromptGen-v1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Disty0/Florence-2-base-PromptGen-v1.5")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Disty0/Florence-2-base-PromptGen-v1.5") model = AutoModelForImageTextToText.from_pretrained("Disty0/Florence-2-base-PromptGen-v1.5") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Disty0/Florence-2-base-PromptGen-v1.5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Disty0/Florence-2-base-PromptGen-v1.5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Disty0/Florence-2-base-PromptGen-v1.5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Disty0/Florence-2-base-PromptGen-v1.5
- SGLang
How to use Disty0/Florence-2-base-PromptGen-v1.5 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 "Disty0/Florence-2-base-PromptGen-v1.5" \ --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": "Disty0/Florence-2-base-PromptGen-v1.5", "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 "Disty0/Florence-2-base-PromptGen-v1.5" \ --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": "Disty0/Florence-2-base-PromptGen-v1.5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Disty0/Florence-2-base-PromptGen-v1.5 with Docker Model Runner:
docker model run hf.co/Disty0/Florence-2-base-PromptGen-v1.5
| { | |
| "num_additional_image_tokens": 0, | |
| "post_processor_config": { | |
| "bboxes": {}, | |
| "description_with_bboxes": {}, | |
| "description_with_bboxes_or_polygons": {}, | |
| "description_with_polygons": {}, | |
| "ocr": { | |
| "area_threshold": 0.0, | |
| "pattern": "(.+?)<loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)>" | |
| }, | |
| "phrase_grounding": { | |
| "banned_grounding_tokens": [ | |
| "it", | |
| "I", | |
| "me", | |
| "mine", | |
| "you", | |
| "your", | |
| "yours", | |
| "he", | |
| "him", | |
| "his", | |
| "she", | |
| "her", | |
| "hers", | |
| "they", | |
| "them", | |
| "their", | |
| "theirs", | |
| "one", | |
| "oneself", | |
| "we", | |
| "us", | |
| "our", | |
| "ours", | |
| "you", | |
| "your", | |
| "yours", | |
| "they", | |
| "them", | |
| "their", | |
| "theirs", | |
| "mine", | |
| "yours", | |
| "his", | |
| "hers", | |
| "its", | |
| "ours", | |
| "yours", | |
| "theirs", | |
| "myself", | |
| "yourself", | |
| "himself", | |
| "herself", | |
| "itself", | |
| "ourselves", | |
| "yourselves", | |
| "themselves", | |
| "this", | |
| "that", | |
| "these", | |
| "those", | |
| "who", | |
| "whom", | |
| "whose", | |
| "which", | |
| "what", | |
| "who", | |
| "whom", | |
| "whose", | |
| "which", | |
| "that", | |
| "all", | |
| "another", | |
| "any", | |
| "anybody", | |
| "anyone", | |
| "anything", | |
| "each", | |
| "everybody", | |
| "everyone", | |
| "everything", | |
| "few", | |
| "many", | |
| "nobody", | |
| "none", | |
| "one", | |
| "several", | |
| "some", | |
| "somebody", | |
| "someone", | |
| "something", | |
| "each other", | |
| "one another", | |
| "myself", | |
| "yourself", | |
| "himself", | |
| "herself", | |
| "itself", | |
| "ourselves", | |
| "yourselves", | |
| "themselves", | |
| "the image", | |
| "image", | |
| "images", | |
| "the", | |
| "a", | |
| "an", | |
| "a group", | |
| "other objects", | |
| "lots", | |
| "a set" | |
| ] | |
| }, | |
| "polygons": {}, | |
| "pure_text": {} | |
| }, | |
| "processor_class": "Florence2Processor" | |
| } | |