Image-to-Text
Transformers
Safetensors
qwen3_5
image-text-to-text
vision-language
vlm
document-understanding
structured-extraction
information-extraction
ocr
document-to-markdown
markdown
rag
reasoning
multilingual
conversational
Instructions to use numind/NuExtract3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuExtract3 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") 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 AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("numind/NuExtract3") model = AutoModelForImageTextToText.from_pretrained("numind/NuExtract3") 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?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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license_link: https://huggingface.co/numind/NuExtract3/blob/main/LICENSE
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library_name: transformers
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pipeline_tag: image-
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tags:
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base_model:
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model_name: NuExtract3
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year = {2026},
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url = {https://nuextract.ai/}
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```
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license: apache-2.0
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license_link: https://huggingface.co/numind/NuExtract3/blob/main/LICENSE
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library_name: transformers
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pipeline_tag: image-to-text
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tags:
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- image-text-to-text
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- transformers
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- safetensors
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- qwen3_5
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- vision-language
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- vlm
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- document-understanding
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- structured-extraction
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- information-extraction
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- ocr
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- document-to-markdown
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- markdown
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- rag
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- reasoning
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- multilingual
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- conversational
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base_model:
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- Qwen/Qwen3.5-4B
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model_name: NuExtract3
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year = {2026},
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url = {https://nuextract.ai/}
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}
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```
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