Instructions to use Filiphw/doctr-db-resnet50-detection-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- docTR
How to use Filiphw/doctr-db-resnet50-detection-v1 with docTR:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Filiphw/doctr-db-resnet50-detection-v1: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/Filiphw/doctr-db-resnet50-detection-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Filiphw/doctr-db-resnet50-detection-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Filiphw/doctr-db-resnet50-detection-v1/resolve/main/pytorch_model.bin
102 MB
- Xet hash:
- 514d2613b11056f4931990a34447c8bbe39005049b53a321def37212f4953b67
- Size of remote file:
- 102 MB
- SHA256:
- 59945038a750f11a2cb5897e661cada1b2d2efc4847906e4ad5f99ffa9734d49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.