Visual Document Retrieval
Transformers
Safetensors
ColPali
multilingual
colqwen3
feature-extraction
text
image
video
multimodal-embedding
vidore
multilingual-embedding
custom_code
Instructions to use TomoroAI/tomoro-colqwen3-embed-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TomoroAI/tomoro-colqwen3-embed-4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TomoroAI/tomoro-colqwen3-embed-4b", trust_remote_code=True, dtype="auto") - ColPali
How to use TomoroAI/tomoro-colqwen3-embed-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
License questions
#1
by Anantgyan - opened
HI Team,
we would like to use this model in our Production environment hosting on AWS Sagemaker. ?
Its under apache 2.0 open source license, but just wondering is there anything else we should be worried about?
Hi, it’s permissive license, no other things to worry about.