How to use brandaobrandisborges/layoutlm-synthchecking-padding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brandaobrandisborges/layoutlm-synthchecking-padding")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brandaobrandisborges/layoutlm-synthchecking-padding") model = AutoModelForTokenClassification.from_pretrained("brandaobrandisborges/layoutlm-synthchecking-padding", device_map="auto")
https://huggingface.co/brandaobrandisborges/layoutlm-synthchecking-padding/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://brandaobrandisborges/layoutlm-synthchecking-padding@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/brandaobrandisborges/layoutlm-synthchecking-padding/resolve/refs%2Fpr%2F1/tokenizer.json
