Instructions to use TusharGoel/LiLT-Document-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TusharGoel/LiLT-Document-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="TusharGoel/LiLT-Document-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("TusharGoel/LiLT-Document-QA") model = AutoModelForQuestionAnswering.from_pretrained("TusharGoel/LiLT-Document-QA") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1629c3712d88bfdfb4fbd4f434ea3c1dd79b061b6e5fa10aa908c77f111b8195
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size 520712200
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