Instructions to use kssteven/T5-small-cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kssteven/T5-small-cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kssteven/T5-small-cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("kssteven/T5-small-cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60143b1e9b9b6667deb0a47b3dde2fa569170d1a101c7cba17e4401ab886f806
- Size of remote file:
- 242 MB
- SHA256:
- a991765aacbc1593bdc6985dc3aecb2f3982a19c5dfba965ec6f021508b9b9e9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.