Instructions to use zibajoon/20231114_DocVQA_laytlm_2ep_full50k_Doc_NA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zibajoon/20231114_DocVQA_laytlm_2ep_full50k_Doc_NA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="zibajoon/20231114_DocVQA_laytlm_2ep_full50k_Doc_NA")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("zibajoon/20231114_DocVQA_laytlm_2ep_full50k_Doc_NA") model = AutoModelForDocumentQuestionAnswering.from_pretrained("zibajoon/20231114_DocVQA_laytlm_2ep_full50k_Doc_NA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bb27ea542691277384c2d8eaccd8f947ad3df220da86ad847395c2eaca73052
- Size of remote file:
- 4.6 kB
- SHA256:
- 0a77d741d33c9f1356611358879feb8e7ce10fec51df5d88fa0f8247f0fb287b
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