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/state_dict.pth from InternScience/ChartVLM-large: direct link, hf CLI and curl.
- Browser
- Download file 10.7 GB
-
https://huggingface.co/InternScience/ChartVLM-large/resolve/main/base_decoder/state_dict.pth
- Command line
-
hf download hf://InternScience/ChartVLM-large/base_decoder/state_dict.pth
-
curl -L -o state_dict.pth https://huggingface.co/InternScience/ChartVLM-large/resolve/main/base_decoder/state_dict.pth
10.7 GB
- Xet hash:
- 23ad36b83eb9ac06b62fedb64f81c70d279ecb1e81e4566c1369f29e730ee4a3
- Size of remote file:
- 10.7 GB
- SHA256:
- 656e9fe5d7a7b443752b08bb1e5bdd9e5b00a1c45bc1af33fb39ae6b218ec495
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