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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("numind/NuMarkdown-8B-Thinking") model = AutoModelForMultimodalLM.from_pretrained("numind/NuMarkdown-8B-Thinking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix base_model target (Qwen/Qwen2.5-VL-7B-Instruct)
Browse filesThe `base_model` points to `Qwen/Qwen2.5-VL-7B`, which doesn't exist on the Hub — the actual upstream is [`Qwen/Qwen2.5-VL-7B-Instruct`](https://huggingface.co/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:
```yaml
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).