Image-to-Text
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language-model
table-extraction
financial-documents
qwen2.5-vl
fine-tuned
text-generation-inference
Instructions to use Glazkov/qwen2.5-vl-table-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Glazkov/qwen2.5-vl-table-extraction 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="Glazkov/qwen2.5-vl-table-extraction")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Glazkov/qwen2.5-vl-table-extraction") model = AutoModelForImageTextToText.from_pretrained("Glazkov/qwen2.5-vl-table-extraction") - Notebooks
- Google Colab
- Kaggle
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