Instructions to use paru4ik/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paru4ik/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="paru4ik/content")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("paru4ik/content") model = AutoModelForDocumentQuestionAnswering.from_pretrained("paru4ik/content") - 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 sha256:99d15f7b389896054e49762cbd2f98cd8f09da217bf03fb5d64524cf2b2b3f1b
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size 802053752
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