NuMarkdown
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How to use numind/NuMarkdown-8B-Thinking-mlx-8bits 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-mlx-8bits") # Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText
processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking-mlx-8bits")
model = AutoModelForImageTextToText.from_pretrained("numind/NuMarkdown-8B-Thinking-mlx-8bits")How to use numind/NuMarkdown-8B-Thinking-mlx-8bits with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NuMarkdown-8B-Thinking-mlx-8bits numind/NuMarkdown-8B-Thinking-mlx-8bits
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.
pip install -U mlx-vlm
python -m mlx_vlm.generate --model numind/NuMarkdown-8B-Thinking-mlx-8bits --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
8-bit