Instructions to use philschmid/lilt-en-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/lilt-en-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="philschmid/lilt-en-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/lilt-en-funsd") model = AutoModelForTokenClassification.from_pretrained("philschmid/lilt-en-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 346 Bytes
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"image_std": [
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"processor_class": "LayoutLMv3Processor",
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