Visual Document Retrieval
Transformers
Safetensors
sentence-transformers
ColPali
multilingual
colqwen3
feature-extraction
multi-vector
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, device_map="auto") - sentence-transformers
How to use TomoroAI/tomoro-colqwen3-embed-4b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TomoroAI/tomoro-colqwen3-embed-4b", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - 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.
hxssgaa changed discussion status to closed