Instructions to use hf-internal-testing/tiny-random-layoutlmv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-layoutlmv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="hf-internal-testing/tiny-random-layoutlmv2")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-layoutlmv2") model = AutoModelForDocumentQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-layoutlmv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a2f5fe98e5f150bd4f6400bd80aa41c2486e2677ddead6f08d8147b5c2d6fcc
- Size of remote file:
- 17.1 MB
- SHA256:
- 91ec6e3a2d246bf1a374bcbfccdb5e13bbc3d9478aaf27a684bd908e175cd5a8
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