Instructions to use alexbeta80/layoutlmtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexbeta80/layoutlmtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alexbeta80/layoutlmtest")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("alexbeta80/layoutlmtest") model = AutoModelForTokenClassification.from_pretrained("alexbeta80/layoutlmtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 787cc9744a3e97f15ebb8d4b657d9b626d199448383c08dbcb5d8b56d3b39547
- Size of remote file:
- 4.66 kB
- SHA256:
- 8517435b95bc2f3060a26bb894350d1f7ee9abfee9e4fceebb779e7bd4b55121
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