Token Classification
Transformers
TensorBoard
Safetensors
lilt
Generated from Trainer
invoice-processing
information-extraction
czech-language
document-ai
layout-aware-model
synthetic-data
layout-augmentation
Instructions to use TomasFAV/LiLTInvoiceCzechV01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TomasFAV/LiLTInvoiceCzechV01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TomasFAV/LiLTInvoiceCzechV01")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TomasFAV/LiLTInvoiceCzechV01") model = AutoModelForTokenClassification.from_pretrained("TomasFAV/LiLTInvoiceCzechV01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
model.safetensors
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