Instructions to use fimu-docproc-research/CIVQA_layoutXLM_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fimu-docproc-research/CIVQA_layoutXLM_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="fimu-docproc-research/CIVQA_layoutXLM_model")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("fimu-docproc-research/CIVQA_layoutXLM_model") model = AutoModelForDocumentQuestionAnswering.from_pretrained("fimu-docproc-research/CIVQA_layoutXLM_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0f02e12e465d3b81f80f8d0c8afe80c99aa886aee846e7e4694650332d0f22b
- Size of remote file:
- 1.09 GB
- SHA256:
- 84581a00cdc58874dc561d591d8cd08012d9be26af3eed5c39685f30bd1b6a68
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