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
π Documentation Enhancement Suggestion
#8 opened 3 months ago
by
CroviaTrust
What about multi page pdfs
1
#7 opened 4 months ago
by
aniket2025
Quantizations version
#5 opened 9 months ago
by
baiall
NuMarkdown-8B-reasoning on A100 40GB is extremely slow (even for 1 token)
π 1
2
#4 opened 9 months ago
by
Fedoration
This is so exciting!
π€ 5
1
#2 opened 10 months ago
by
ashercn97