How to use neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab") model = AutoModelForSequenceClassification.from_pretrained("neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab", device_map="auto")
https://huggingface.co/neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab/resolve/main/eval_split.csv
hf download hf://neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab/eval_split.csv
curl -L -o eval_split.csv https://huggingface.co/neuralit/layoutlmv3-large-model2a-router-2aa-vs-2ab/resolve/main/eval_split.csv
