Instructions to use Dhineshk/TekDocumentQuestionAnswering_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dhineshk/TekDocumentQuestionAnswering_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Dhineshk/TekDocumentQuestionAnswering_V3")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("Dhineshk/TekDocumentQuestionAnswering_V3") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Dhineshk/TekDocumentQuestionAnswering_V3") - 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:e9a1b3555286a73432cf9cff688321a5bdae11eec4a0d72e0edc617964201cf5
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size 802053752
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