Instructions to use hf-internal-testing/tiny-random-layoutlmv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-layoutlmv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-layoutlmv3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-layoutlmv3") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-layoutlmv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa733359e6aa005257f076b6e6e93883f37b586a19db76828704151cd664f0d8
- Size of remote file:
- 4.08 MB
- SHA256:
- e2f763e02be2ff40c58f2e4096a8ce053f0132445b00f8388a0ee4e4c0288bf6
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