Instructions to use ruchita1010/pegasuscnn-dailymail_billsum_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruchita1010/pegasuscnn-dailymail_billsum_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ruchita1010/pegasuscnn-dailymail_billsum_model") model = AutoModelForSeq2SeqLM.from_pretrained("ruchita1010/pegasuscnn-dailymail_billsum_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05b5d3eddf2cbc8ceace164775c6ec05396494b0bcd07b3e07f7ba631044ade3
- Size of remote file:
- 2.28 GB
- SHA256:
- 02d65ff7e230f5e00ea31ccdd675153e46dd69557dabab65b81ad66d2f213663
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.