Instructions to use pruhtopia/bart-toc-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruhtopia/bart-toc-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pruhtopia/bart-toc-generation") model = AutoModelForSeq2SeqLM.from_pretrained("pruhtopia/bart-toc-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b932ce4710466e2d726e0f21b436e437b772edda9e94170c3fa16d770c87a4f
- Size of remote file:
- 1.63 GB
- SHA256:
- 6139316961f7b3663f8c5521299563f94cb822e60c02b3c041bb50af76e1f5a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.