Transformers
PyTorch
English
t5
text2text-generation
DocVQA
Document Question Answering
Document Visual Question Answering
text-generation-inference
Instructions to use rubentito/t5-base-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rubentito/t5-base-mpdocvqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rubentito/t5-base-mpdocvqa") model = AutoModelForSeq2SeqLM.from_pretrained("rubentito/t5-base-mpdocvqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:b51ee06d6ff74df33afa72be4c688e7269d8d113585493c1a9bfb4834c6498e0
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size 891644712
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