How to use numind/NuMarkdown-8B-Thinking-mlx-4bits 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-4bits")
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking-mlx-4bits") model = AutoModelForMultimodalLM.from_pretrained("numind/NuMarkdown-8B-Thinking-mlx-4bits", device_map="auto")
How to use numind/NuMarkdown-8B-Thinking-mlx-4bits with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NuMarkdown-8B-Thinking-mlx-4bits numind/NuMarkdown-8B-Thinking-mlx-4bits
