Image-to-Text
Transformers
Safetensors
image-text-to-text
qwen3_5
vision-language
vlm
document-understanding
structured-extraction
information-extraction
ocr
document-to-markdown
markdown
rag
reasoning
multilingual
conversational
Instructions to use numind/NuExtract3-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuExtract3-FP8 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="numind/NuExtract3-FP8") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("numind/NuExtract3-FP8", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a3c913367692141f348717d7dd067fff9da0cee745488107e31f6485426d46bc
- Size of remote file:
- 228 kB
- SHA256:
- 7c6e21084c03ec764f032ca38c60ae44fc8e650d7e3b95acc03ac5b8e016dd71
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