Instructions to use Kim-Rass/InternVL3-2B-doclaynet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kim-Rass/InternVL3-2B-doclaynet with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kim-Rass/InternVL3-2B-doclaynet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from Kim-Rass/InternVL3-2B-doclaynet: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/Kim-Rass/InternVL3-2B-doclaynet/resolve/main/merges.txt
- Command line
-
hf download hf://Kim-Rass/InternVL3-2B-doclaynet/merges.txt
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curl -L -o merges.txt https://huggingface.co/Kim-Rass/InternVL3-2B-doclaynet/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.