Instructions to use UiPath/pix2struct-vision-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UiPath/pix2struct-vision-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("UiPath/pix2struct-vision-base") model = AutoModel.from_pretrained("UiPath/pix2struct-vision-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from UiPath/pix2struct-vision-base: direct link, hf CLI and curl.
- Browser
- Download file 367 MB
-
https://huggingface.co/UiPath/pix2struct-vision-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://UiPath/pix2struct-vision-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/UiPath/pix2struct-vision-base/resolve/main/pytorch_model.bin
367 MB
- Xet hash:
- 0a39f9a958d3aa6fc18a72dfbe573fb37cf31c53c965a999bb4ea1b2567bf6c0
- Size of remote file:
- 367 MB
- SHA256:
- 6d6ebda87eaf5b19e1ec9be1ee7ee751a17fed9befc06979915fe9e41cdd8d50
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