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, dtype="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 .configuration_ops_colqwen3 import OpsColQwen3Config | |
| from .modeling_ops_colqwen3 import OpsColQwen3Model, OpsColQwen3PreTrainedModel | |
| from .processing_ops_colqwen3 import OpsColQwen3Processor | |
| __all__ = [ | |
| "OpsColQwen3Config", | |
| "OpsColQwen3Model", | |
| "OpsColQwen3PreTrainedModel", | |
| "OpsColQwen3Processor", | |
| ] |