Instructions to use cataluna84/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cataluna84/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cataluna84/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("cataluna84/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdf25554a1f13353118b63fd318c6759db7929de4e3bef90a236e0e2232087e4
- Size of remote file:
- 2.8 kB
- SHA256:
- fbc41c446d28326698b4ba8bc3bae3922a55a8c13476104fb62dc41e0041b357
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.