Transformers
PyTorch
Safetensors
English
t5
text2text-generation
text2text generation
text-generation-inference
Instructions to use haining/scientific_abstract_simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haining/scientific_abstract_simplification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("haining/scientific_abstract_simplification") model = AutoModelForSeq2SeqLM.from_pretrained("haining/scientific_abstract_simplification") - Notebooks
- Google Colab
- Kaggle
<3 I really LOVE this model! <3
#1
by ArthurParkerhouse - opened
I really LOVE this model! It's so well done! Do you have plans to release future models?
Also, how might someone further train this model on additional instructions? Do you know of a good (somewhat easy-to-moderate level) guide out there for multi-instruction tuning a Flan-T5 model?