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
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.27.2" | |
| } | |