Transformers
PyTorch
English
longt5
text2text-generation
DocVQA
Document Question Answering
Document Visual Question Answering
Instructions to use rubentito/longt5-tglobal-base-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rubentito/longt5-tglobal-base-mpdocvqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("rubentito/longt5-tglobal-base-mpdocvqa") model = AutoModelForMultimodalLM.from_pretrained("rubentito/longt5-tglobal-base-mpdocvqa") - Notebooks
- Google Colab
- Kaggle
File size: 142 Bytes
899da1a | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.27.2"
}
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