Instructions to use Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples") model = AutoModelForSeq2SeqLM.from_pretrained("Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7684e97a352563d86287ab8ab3a54e2b9e183c3dfa11deb818d1624a32842bb
- Size of remote file:
- 558 MB
- SHA256:
- 8065b778515cf48625a2d1b4078e9fcdbabfed9a2f1fc986aa6818cc3e89034a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.