Visual Document Retrieval
Safetensors
ColPali
colpali_engine
colbert
visual-retrieval
document-retrieval
gemma4
lora
late-interaction
multi-vector
Instructions to use athrael-soju/ColGemma4-E4B-IT-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use athrael-soju/ColGemma4-E4B-IT-Base 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
- Xet hash:
- 59f85f3236798f622e02aa3c7fb4bccd85c8122a897eb86df3a6bf76225c1777
- Size of remote file:
- 294 MB
- SHA256:
- e55807ec55cd0426202b867b39d26cc4bf95f0c54cffda93beee2297d8cdb9d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.