Instructions to use kanansharmaa/layoutlm_document_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kanansharmaa/layoutlm_document_qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="kanansharmaa/layoutlm_document_qa")# Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kanansharmaa/layoutlm_document_qa") model = AutoModelForDocumentQuestionAnswering.from_pretrained("kanansharmaa/layoutlm_document_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f3651a8da25c29bab0726606bd232374bb29b536800ca49e1aedc9b4f97fbd
- Size of remote file:
- 511 MB
- SHA256:
- f44515b4be73106d9674068b0f1ac34b15c951e539c8be8c1c7fdcb8d1a86eec
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