Instructions to use InternScience/ChartVLM-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternScience/ChartVLM-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternScience/ChartVLM-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download base_decoder/pytorch_model.bin from InternScience/ChartVLM-large: direct link, hf CLI and curl.
- Browser
- Download file 5.34 GB
-
https://huggingface.co/InternScience/ChartVLM-large/resolve/main/base_decoder/pytorch_model.bin
- Command line
-
hf download hf://InternScience/ChartVLM-large/base_decoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/InternScience/ChartVLM-large/resolve/main/base_decoder/pytorch_model.bin
5.34 GB
- Xet hash:
- 56082a9baf6608cfe62b7c4ee8211a24b298df8dfc7ece8f196fe433951332c0
- Size of remote file:
- 5.34 GB
- SHA256:
- bad8d6f0fbb159629c47ea99ecd3ff6f2bc8f23ea5a10d8338b7abb77612043e
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