Object Detection
Transformers
Safetensors
florence2
image-text-to-text
medieval
manuscript
custom_code
Instructions to use medieval-data/Florence-2-base-medieval-zone-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medieval-data/Florence-2-base-medieval-zone-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="medieval-data/Florence-2-base-medieval-zone-detection", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("medieval-data/Florence-2-base-medieval-zone-detection", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("medieval-data/Florence-2-base-medieval-zone-detection", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from medieval-data/Florence-2-base-medieval-zone-detection: direct link, hf CLI and curl.
- Browser
- Download file 130 Bytes
-
https://huggingface.co/medieval-data/Florence-2-base-medieval-zone-detection/resolve/main/processor_config.json
- Command line
-
hf download hf://medieval-data/Florence-2-base-medieval-zone-detection/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/medieval-data/Florence-2-base-medieval-zone-detection/resolve/main/processor_config.json
130 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_florence2.Florence2Processor" | |
| }, | |
| "processor_class": "Florence2Processor" | |
| } | |