Instructions to use mathew/layoutlmv2-finetuned-funsd-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathew/layoutlmv2-finetuned-funsd-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mathew/layoutlmv2-finetuned-funsd-1024")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("mathew/layoutlmv2-finetuned-funsd-1024") model = AutoModelForTokenClassification.from_pretrained("mathew/layoutlmv2-finetuned-funsd-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56fa1b1b4c7e6c459b4c712babe838b344138e00da87d539121647b5227404ed
- Size of remote file:
- 802 MB
- SHA256:
- e9517f059a3b3425924174c13221ad40c6f5140f0252515c2978784d0d11f9d6
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