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:
# 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
| from transformers import Qwen3VLConfig | |
| class OpsColQwen3Config(Qwen3VLConfig): | |
| """ | |
| Configuration class for OpsColQwen3 model. | |
| """ | |
| model_type = "ops_colqwen3" | |
| def __init__( | |
| self, | |
| dims: int = 2560, | |
| mask_non_image_embeddings: bool = False, | |
| **kwargs | |
| ): | |
| super().__init__(**kwargs) | |
| self.dims = dims | |
| self.mask_non_image_embeddings = mask_non_image_embeddings | |