Visual Document Retrieval
Transformers
Safetensors
ColPali
ops_colqwen3
feature-extraction
multimodal_embedding
embedding
multilingual-embedding
colqwen3
custom_code
Instructions to use OpenSearch-AI/Ops-Colqwen3-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenSearch-AI/Ops-Colqwen3-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenSearch-AI/Ops-Colqwen3-4B", trust_remote_code=True, device_map="auto") - ColPali
How to use OpenSearch-AI/Ops-Colqwen3-4B with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Add Sentence Transformers usage section to the model card
Verified signature3be3e40
-
Integrate with Sentence Transformers via MultiVectorEncoder, fix transformers 5.x processor and modeling
Verified signature5545ad0
-
fix typo
Verified signaturee9046ac
-
update usage
Verified signature4894b7d
-
Update README.md
Verified signature785e185 -
Upload folder using huggingface_hub
Verified signature431d415 -
init
Verified signature8613884 -
initial commit
Verified signature9bb6663