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
Download 1_MultiVectorMask/config.json from OpenSearch-AI/Ops-Colqwen3-4B: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
-
https://huggingface.co/OpenSearch-AI/Ops-Colqwen3-4B/resolve/refs%2Fpr%2F5/1_MultiVectorMask/config.json
- Command line
-
hf download hf://OpenSearch-AI/Ops-Colqwen3-4B@refs/pr/5/1_MultiVectorMask/config.json
-
curl -L -o config.json https://huggingface.co/OpenSearch-AI/Ops-Colqwen3-4B/resolve/refs%2Fpr%2F5/1_MultiVectorMask/config.json
82 Bytes
| { | |
| "skiplist_words": [], | |
| "skiplist_tasks": [], | |
| "keep_only_token_ids": null | |
| } | |