Instructions to use ingenio/IndoColSmol-500M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ingenio/IndoColSmol-500M with Transformers:
# Load model directly from transformers import AutoProcessor, ColIdefics3 processor = AutoProcessor.from_pretrained("ingenio/IndoColSmol-500M") model = ColIdefics3.from_pretrained("ingenio/IndoColSmol-500M", device_map="auto") - ColPali
How to use ingenio/IndoColSmol-500M 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:
- 9581c391c93852030654afab9f7c484f920f1a1b99b8d26484ad892969f7ef24
- Size of remote file:
- 5.3 kB
- SHA256:
- a85a0279d0941895dd08e9ad1dec96382386f0805e7c968a46d75c87b4221bb4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.