Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
invoice-processing
information-extraction
czech-language
synthetic-data
hybrid-data
Instructions to use TomasFAV/BERTInvoiceCzechV012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TomasFAV/BERTInvoiceCzechV012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TomasFAV/BERTInvoiceCzechV012")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TomasFAV/BERTInvoiceCzechV012") model = AutoModelForTokenClassification.from_pretrained("TomasFAV/BERTInvoiceCzechV012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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