Instructions to use ypl/bart_test_p2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ypl/bart_test_p2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ypl/bart_test_p2") model = AutoModelForSeq2SeqLM.from_pretrained("ypl/bart_test_p2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 816ab5e264d638928dc8c9eca883762429617f133e726c309c81a28ec0c335c5
- Size of remote file:
- 1.06 kB
- SHA256:
- 51c6bfad6b9ed7f7b64c27c27fdb69168a5257375021c87f904bde03904fc246
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.