Instructions to use KRayRay/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRayRay/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KRayRay/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KRayRay/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("KRayRay/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41d579212826db376da9d3d899dcaa4d7b42d2da3c37edde9b53527c6072665e
- Size of remote file:
- 4.54 kB
- SHA256:
- 432d417ec1b2700fa531433047926c67c79e82500d43e5f2c281454827fff1d3
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