Instructions to use RustX/donut-base-finetuned-insurance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RustX/donut-base-finetuned-insurance with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RustX/donut-base-finetuned-insurance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RustX/donut-base-finetuned-insurance: direct link, hf CLI and curl.
- Browser
- Download file 858 MB
-
https://huggingface.co/RustX/donut-base-finetuned-insurance/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RustX/donut-base-finetuned-insurance/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RustX/donut-base-finetuned-insurance/resolve/main/pytorch_model.bin
858 MB
- Xet hash:
- 2ff8e8eaba57f3c629391f17d2bcf640e4a54bc69b42a45f17c5c8d599d4e0dd
- Size of remote file:
- 858 MB
- SHA256:
- b772b217b88fc7b3a22dada506e00b2a346e26a21e134d79e70fe69e8daffa23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.