How to use Shridharam/layoutlm-funsd-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Shridharam/layoutlm-funsd-tf")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Shridharam/layoutlm-funsd-tf") model = AutoModelForTokenClassification.from_pretrained("Shridharam/layoutlm-funsd-tf", device_map="auto")
https://huggingface.co/Shridharam/layoutlm-funsd-tf/resolve/main/tokenizer.json
hf download hf://Shridharam/layoutlm-funsd-tf/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Shridharam/layoutlm-funsd-tf/resolve/main/tokenizer.json
