Instructions to use BigSalmon/ConciseAndFormal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/ConciseAndFormal with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/ConciseAndFormal") model = AutoModelForSeq2SeqLM.from_pretrained("BigSalmon/ConciseAndFormal") - Notebooks
- Google Colab
- Kaggle
| how to start prompt: | |
| ``` | |
| wordy: | |
| ``` | |
| example: | |
| ``` | |
| wordy: the ndp has turned into the country's darling of the young. | |
| ``` | |
| output: | |
| ``` | |
| the ndp is youth-driven. | |
| ``` | |
| OR | |
| ``` | |
| informal english: | |
| ``` | |
| example: | |
| ``` | |
| informal english: corn fields are all across illinois, visible once you leave chicago. | |
| ``` | |
| output: | |
| ``` | |
| corn fields ( permeate illinois / span the state of illinois / ( occupy / persist in ) all corners of illinois / line the horizon of illinois / envelop the landscape of illinois ), manifesting themselves visibly as one ventures beyond chicago. | |
| ``` |