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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7074f1ef9c1281bd126dc211dfb7c115c001daf5763307778f709849117c0867
- Size of remote file:
- 920 kB
- SHA256:
- 363616d8540280ad1c98bc1d13578fc37cd63835f59b3d0d7ea187ad22910339
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