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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InternScience/ChartVLM-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c274a3c7ec5cc1dfa282b344d78c7e85a8ba1c7ff06e73dd06a6a133f8787b9c
- Size of remote file:
- 627 Bytes
- SHA256:
- 9c767e531f5cc92dcf2b7622466a92b93376b191b8847a14de57d9649808db98
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