Image-to-Text
Transformers
Safetensors
English
Indonesian
vision
assistive-technology
accessibility
vision-language-model
florence-2
multimodal
Instructions to use Ardelyo/dara-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ardelyo/dara-v1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="Ardelyo/dara-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ardelyo/dara-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Ardelyo/dara-v1: direct link, hf CLI and curl.
- Browser
- Download file 136 Bytes
-
https://huggingface.co/Ardelyo/dara-v1/resolve/main/processor_config.json
- Command line
-
hf download hf://Ardelyo/dara-v1/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Ardelyo/dara-v1/resolve/main/processor_config.json
136 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_florence2.Florence2Processor" | |
| }, | |
| "processor_class": "Florence2Processor" | |
| } | |