Instructions to use manueldeprada/t5-cord19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manueldeprada/t5-cord19 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("manueldeprada/t5-cord19") model = AutoModelForSeq2SeqLM.from_pretrained("manueldeprada/t5-cord19") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
T5-base pretrained on CORD-19 dataset
The model has been pretrained on text and abstracts from the CORD-19 dataset, using a manually implemented denoising objetive similar to the original T5 denoising objective.
Model needs to be finetuned on downstream tasks.
Code avaliable in github: https://github.com/manueldeprada/Pretraining-T5-PyTorch-Lightning.
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