Image-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
OCR
vision-language
VLM
Reasoning
document-to-markdown
qwen2.5
markdown
extraction
RAG
text-generation-inference
Instructions to use numind/NuMarkdown-8B-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuMarkdown-8B-Thinking 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/NuMarkdown-8B-Thinking")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking") model = AutoModelForMultimodalLM.from_pretrained("numind/NuMarkdown-8B-Thinking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ex1.png from numind/NuMarkdown-8B-Thinking: direct link, hf CLI and curl.
- Browser
- Download file 163 kB
-
https://huggingface.co/numind/NuMarkdown-8B-Thinking/resolve/main/ex1.png
- Command line
-
hf download hf://numind/NuMarkdown-8B-Thinking/ex1.png
-
curl -L -o ex1.png https://huggingface.co/numind/NuMarkdown-8B-Thinking/resolve/main/ex1.png
163 kB

- Xet hash:
- ba17b771fcbfd2dd9a0cc4012eced44633654a17c4bf42e8e926dd365e7bbbf7
- Size of remote file:
- 163 kB
- SHA256:
- 9ab65794a94eae69f761e65fa4731829251b907b60488bab62b47b5c16cc7000
·
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