Instructions to use nielsr/layoutlmv2-finetuned-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/layoutlmv2-finetuned-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nielsr/layoutlmv2-finetuned-funsd")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("nielsr/layoutlmv2-finetuned-funsd") model = AutoModelForTokenClassification.from_pretrained("nielsr/layoutlmv2-finetuned-funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6db77aa5eeb69969e39f4c9fe529211cd243112f6f0cfff9159f3a5df846e8d
- Size of remote file:
- 802 MB
- SHA256:
- 8644fb174517a6c7eaa54b37b57409b63cebb15c233bfa19bba1fbde8c93be36
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