Instructions to use kssteven/T5-large-cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-large-cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-large-cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-large-cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97ddccce5e3f4cd0a888f0bceaa5159ba6467e8561cca364059faebb0c6dcfa0
- Size of remote file:
- 2.95 GB
- SHA256:
- 666ddab1ba0dc4002c13abf2dc1779db3a8ab99f225f750c1dc1ba0e7a2541f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.