Instructions to use U4R/ChartVLM-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use U4R/ChartVLM-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("U4R/ChartVLM-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e10a540620bda38b3585e8269d9e0f7adfd173a3262594ca00a736ab804b0f80
- Size of remote file:
- 50.2 kB
- SHA256:
- 91f29d95ca32b437a3accdb8d5ff49ef5e8e81e00cc3d1c3edab69726ac7e8e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.