NuMarkdown
Collection
5 items • Updated • 6
Image-to-Text
Transformers
Safetensors
MLX
qwen2_5_vl
image-text-to-text
OCR
vision-language
VLM
Reasoning
document-to-markdown
qwen2.5
markdown
extraction
RAG
text-generation-inference
4-bit precision
# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText
processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking-mlx-4bits")
model = AutoModelForImageTextToText.from_pretrained("numind/NuMarkdown-8B-Thinking-mlx-4bits")Quick Links
A newer version of this model is available: numind/NuExtract3
numind/NuMarkdown-8B-Thinking-mlx-4bits
This model was converted to MLX format from numind/NuMarkdown-8B-Thinking using mlx-vlm version 0.3.7.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model numind/NuMarkdown-8B-Thinking-mlx-4bits --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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Hardware compatibility
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4-bit
# 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-mlx-4bits")