Instructions to use arham1/layoutlmv2-finetuned-funsd-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arham1/layoutlmv2-finetuned-funsd-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arham1/layoutlmv2-finetuned-funsd-test")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("arham1/layoutlmv2-finetuned-funsd-test") model = AutoModelForTokenClassification.from_pretrained("arham1/layoutlmv2-finetuned-funsd-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2847807af9c137d3c997aec1bb5005a7f17e3fde0f743b545884f9febedf1ddb
- Size of remote file:
- 5.43 kB
- SHA256:
- 0192ef894d06a0b2b8509623739c5bc538617eaabc6b746ff25fb62b86160866
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