Visual Document Retrieval
PEFT
Safetensors
vidore
multimodal_embedding
multilingual_embedding
Text-to-Visual Document (T→VD) retrieval
Instructions to use Metric-AI/ColQwen2.5-7b-multilingual-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Metric-AI/ColQwen2.5-7b-multilingual-v1.0 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Metric-AI/colqwen2.5-7b-base") model = PeftModel.from_pretrained(base_model, "Metric-AI/ColQwen2.5-7b-multilingual-v1.0") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from Metric-AI/ColQwen2.5-7b-multilingual-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/Metric-AI/ColQwen2.5-7b-multilingual-v1.0/resolve/main/merges.txt
- Command line
-
hf download hf://Metric-AI/ColQwen2.5-7b-multilingual-v1.0/merges.txt
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curl -L -o merges.txt https://huggingface.co/Metric-AI/ColQwen2.5-7b-multilingual-v1.0/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.