Instructions to use Nadav/PretrainedPHD-v2-all-fonts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadav/PretrainedPHD-v2-all-fonts with Transformers:
# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Nadav/PretrainedPHD-v2-all-fonts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 013c747aa5be49c17210b9029d0b8dc71840201e2675db531cd89f89ffdd5418
- Size of remote file:
- 449 MB
- SHA256:
- 65fa8e0f8a447fcc5954aa678e61448bcfe8f8387d2caed08d0f1179f60750d7
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