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 tokenizer.json from Ardelyo/dara-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.75 MB
-
https://huggingface.co/Ardelyo/dara-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ardelyo/dara-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ardelyo/dara-v1/resolve/main/tokenizer.json
3.75 MB
File too large to display, you can check the raw version instead.