Instructions to use ift/handwriting_forms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ift/handwriting_forms with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ift/handwriting_forms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bc26ed099df7abd0ec09c40c8e16642fa93bb7cff77bbe9f395734dda839f54
- Size of remote file:
- 1.61 GB
- SHA256:
- 1b49ee8f3386da5f52c66900b064faecae661e83f165d58a5b3542173bdfd431
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.