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 modules.json from OpenSearch-AI/Ops-Colqwen3-4B: direct link, hf CLI and curl.
- Browser
- Download file 304 Bytes
-
https://huggingface.co/OpenSearch-AI/Ops-Colqwen3-4B/resolve/refs%2Fpr%2F5/modules.json
- Command line
-
hf download hf://OpenSearch-AI/Ops-Colqwen3-4B@refs/pr/5/modules.json
-
curl -L -o modules.json https://huggingface.co/OpenSearch-AI/Ops-Colqwen3-4B/resolve/refs%2Fpr%2F5/modules.json
304 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.base.modules.transformer.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_MultiVectorMask", | |
| "type": "sentence_transformers.multi_vector_encoder.modules.multi_vector_mask.MultiVectorMask" | |
| } | |
| ] | |