Instructions to use taiypeo/bart-large-aeslc-100-cnt-supervised-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taiypeo/bart-large-aeslc-100-cnt-supervised-basic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taiypeo/bart-large-aeslc-100-cnt-supervised-basic") model = AutoModelForSeq2SeqLM.from_pretrained("taiypeo/bart-large-aeslc-100-cnt-supervised-basic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 118a2837bff7af73c608a470d531c14c5e70a1cabdf353ffc823468c20c63ed0
- Size of remote file:
- 6.03 kB
- SHA256:
- 57257f03f967986b79cd313a20702674ed60d1fd5f3e52d106f8151b8c536bdb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.