Instructions to use Ashima/bart_large_keyword_wp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashima/bart_large_keyword_wp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ashima/bart_large_keyword_wp") model = AutoModelForSeq2SeqLM.from_pretrained("Ashima/bart_large_keyword_wp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 031f192218516b5aaf6de82b310f39210830f59ee64fee139e342f9c970d64fe
- Size of remote file:
- 1.45 GB
- SHA256:
- b4977c95dc0f0f1ff8127b14cbae3249de3271c7dccce28b5e9fd2bf8dc01462
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.