Feature Extraction
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
visual-document-retrieval
multi-vector
late-interaction
colbert
index-compression
sequence-resize
text-to-image
Instructions to use hltcoe/SeqReSize_qwen2.5-vl_colpali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hltcoe/SeqReSize_qwen2.5-vl_colpali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hltcoe/SeqReSize_qwen2.5-vl_colpali")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hltcoe/SeqReSize_qwen2.5-vl_colpali") model = AutoModelForMultimodalLM.from_pretrained("hltcoe/SeqReSize_qwen2.5-vl_colpali") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!