Instructions to use hf-internal-testing/tiny-random-layoutlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-layoutlm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-layoutlm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f869f93722f34a223878c766450d8d993d82cefa6146d782c3227008578169d8
- Size of remote file:
- 27.5 MB
- SHA256:
- 59b2d9bc0482b8e0914e4b4ee07123e43bec83204ff2fbbffb4bb40eecba6281
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