Instructions to use AndreasPiper/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndreasPiper/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AndreasPiper/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AndreasPiper/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("AndreasPiper/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): ec30ef5
Training in progress, epoch 3
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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