Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use nielsr/layoutlmv3-finetuned-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/layoutlmv3-finetuned-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nielsr/layoutlmv3-finetuned-funsd")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("nielsr/layoutlmv3-finetuned-funsd") model = AutoModelForTokenClassification.from_pretrained("nielsr/layoutlmv3-finetuned-funsd", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08226679951c8cc5f788f43d52d90e3fcba70821b1743b4b8342f7c734343867
- Size of remote file:
- 501 MB
- SHA256:
- b375a1ed05686cc1fd3858c0c239a47ffe4f181ae4e56f867c5109658d5ba4da
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