Instructions to use cccornflake/yangsan-ivila-row-microsoft-layoutlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cccornflake/yangsan-ivila-row-microsoft-layoutlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cccornflake/yangsan-ivila-row-microsoft-layoutlm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cccornflake/yangsan-ivila-row-microsoft-layoutlm") model = AutoModelForTokenClassification.from_pretrained("cccornflake/yangsan-ivila-row-microsoft-layoutlm") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("cccornflake/yangsan-ivila-row-microsoft-layoutlm")
model = AutoModelForTokenClassification.from_pretrained("cccornflake/yangsan-ivila-row-microsoft-layoutlm")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cccornflake/yangsan-ivila-row-microsoft-layoutlm")