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
File size: 322 Bytes
4894b7d | 1 2 3 4 5 6 7 8 9 10 | from .configuration_ops_colqwen3 import OpsColQwen3Config
from .modeling_ops_colqwen3 import OpsColQwen3Model, OpsColQwen3PreTrainedModel
from .processing_ops_colqwen3 import OpsColQwen3Processor
__all__ = [
"OpsColQwen3Config",
"OpsColQwen3Model",
"OpsColQwen3PreTrainedModel",
"OpsColQwen3Processor",
] |