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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("U4R/ChartVLM-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download base_decoder/tokenizer.json from U4R/ChartVLM-base: direct link, hf CLI and curl.
- Browser
- Download file 3.27 MB
-
https://huggingface.co/U4R/ChartVLM-base/resolve/474cc593f0753ffde0b8fdaaa4e9768852beb9be/base_decoder/tokenizer.json
- Command line
-
hf download hf://U4R/ChartVLM-base@474cc593f0753ffde0b8fdaaa4e9768852beb9be/base_decoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/U4R/ChartVLM-base/resolve/474cc593f0753ffde0b8fdaaa4e9768852beb9be/base_decoder/tokenizer.json
3.27 MB
File too large to display, you can check the raw version instead.