Instructions to use cranonieu2021/pegasus-on-lectures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cranonieu2021/pegasus-on-lectures with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cranonieu2021/pegasus-on-lectures") model = AutoModelForSeq2SeqLM.from_pretrained("cranonieu2021/pegasus-on-lectures") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0c0edc769ed1fbb81aaeaf625b91054c1e9544020f9407b3821c893b3c3f4c6
- Size of remote file:
- 5.05 kB
- SHA256:
- 186f5842252eef6f2937a0a8ddceb4d9e95ba60b37e177400fae57a4f2b4eb82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.