Instructions to use KgModel/sbb_ticket_parser_LayoutLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KgModel/sbb_ticket_parser_LayoutLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KgModel/sbb_ticket_parser_LayoutLM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KgModel/sbb_ticket_parser_LayoutLM") model = AutoModelForTokenClassification.from_pretrained("KgModel/sbb_ticket_parser_LayoutLM") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("KgModel/sbb_ticket_parser_LayoutLM")
model = AutoModelForTokenClassification.from_pretrained("KgModel/sbb_ticket_parser_LayoutLM")Quick Links
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Check out the documentation for more information.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KgModel/sbb_ticket_parser_LayoutLM")