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")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking") model = AutoModelForImageTextToText.from_pretrained("numind/NuMarkdown-8B-Thinking") - Notebooks
- Google Colab
- Kaggle
Fix base_model target (Qwen/Qwen2.5-VL-7B-Instruct)
#9
by victor HF Staff - opened
The base_model points to Qwen/Qwen2.5-VL-7B, which doesn't exist on the Hub β the actual upstream is Qwen/Qwen2.5-VL-7B-Instruct (matches the Qwen2.5-VL architecture this was built on). Because the current target is unresolvable, the repo currently appears as a base model with no parent link.
This corrects the target:
base_model: Qwen/Qwen2.5-VL-7B-Instruct
It'll surface the model under Qwen/Qwen2.5-VL-7B-Instruct's Model Tree and improve discoverability. Metadata only.
Feel free to merge directly (or close).