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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ardelyo/dara-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b67f8eec8b20349acfd1005bd66a36ce936bd92c689905bdda3029ead6ac3690
- Size of remote file:
- 5.84 kB
- SHA256:
- f9ccab8f3202f80486396304e09ee3dfd3f9c5db7d4aaa0faa1125cd690b5bce
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