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 instruction_adapter/vectorizer.pkl from U4R/ChartVLM-base: direct link, hf CLI and curl.
- Browser
- Download file 50.2 kB
-
https://huggingface.co/U4R/ChartVLM-base/resolve/refs%2Fpr%2F2/instruction_adapter/vectorizer.pkl
- Command line
-
hf download hf://U4R/ChartVLM-base@refs/pr/2/instruction_adapter/vectorizer.pkl
-
curl -L -o vectorizer.pkl https://huggingface.co/U4R/ChartVLM-base/resolve/refs%2Fpr%2F2/instruction_adapter/vectorizer.pkl
50.2 kB
- Xet hash:
- e10a540620bda38b3585e8269d9e0f7adfd173a3262594ca00a736ab804b0f80
- Size of remote file:
- 50.2 kB
- SHA256:
- 91f29d95ca32b437a3accdb8d5ff49ef5e8e81e00cc3d1c3edab69726ac7e8e1
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