Instructions to use trungle/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trungle/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="trungle/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("trungle/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("trungle/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79ffb20319212b6e61b3dbf8c7b36f5ff4db637db0f15f103baa7d9e6f7e70dc
- Size of remote file:
- 451 MB
- SHA256:
- 89ed0d071b85553f86b9e2083dc90745b786f7017ba236befa4a998b001c489f
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