Instructions to use celsowm/flan-t5-xlsum-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celsowm/flan-t5-xlsum-pt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("celsowm/flan-t5-xlsum-pt") model = AutoModelForSeq2SeqLM.from_pretrained("celsowm/flan-t5-xlsum-pt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc61b6cbe18ca0dcddd23a34ee43fda12eef7673fb1f65a6e08caabc815c2125
- Size of remote file:
- 4.16 kB
- SHA256:
- 7fb0e47c81d9c7d54bc1b60f17e3cf2cd5bfbfb594a9bb528057597c162ebd49
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.