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 chaitnya26/NuMarkdown-8B-Thinking-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaitnya26/NuMarkdown-8B-Thinking-fork 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="chaitnya26/NuMarkdown-8B-Thinking-fork")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("chaitnya26/NuMarkdown-8B-Thinking-fork") model = AutoModelForImageTextToText.from_pretrained("chaitnya26/NuMarkdown-8B-Thinking-fork") - Notebooks
- Google Colab
- Kaggle
Ctrl+K