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 auxiliary_decoder/rng_state_0.pth from U4R/ChartVLM-base: direct link, hf CLI and curl.
- Browser
- Download file 21.7 kB
-
https://huggingface.co/U4R/ChartVLM-base/resolve/main/auxiliary_decoder/rng_state_0.pth
- Command line
-
hf download hf://U4R/ChartVLM-base/auxiliary_decoder/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/U4R/ChartVLM-base/resolve/main/auxiliary_decoder/rng_state_0.pth
21.7 kB
- Xet hash:
- 486b6f6d7281e3d17c8c6f79e7035cbfd0e517d80d9b39881a4bf44ed789c2b0
- Size of remote file:
- 21.7 kB
- SHA256:
- 99929bd03b48e29ef637de6ede9dd8f967124847190195d30b291479474bd0b6
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