Instructions to use MeetK/text_simpl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeetK/text_simpl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MeetK/text_simpl") model = AutoModelForSeq2SeqLM.from_pretrained("MeetK/text_simpl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 309502c7d514442046849dc7daa736143f6092d80fcb4bd2e3939c747dc2e690
- Size of remote file:
- 1.63 GB
- SHA256:
- 7610e60507a33390739f8fcd0dd1cd13af77cc1fd34ae25d256d54bf49f8ca50
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