Instructions to use Trisert/t5-small-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trisert/t5-small-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Trisert/t5-small-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Trisert/t5-small-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 13000
5736ceb -
Training in progress, step 11500
bf91789 -
Training in progress, step 10000
996cba4 -
Training in progress, step 8500
1f5db00 -
Training in progress, step 7500
dd0c86d -
Training in progress, step 6000
45034b3 -
Training in progress, step 5000
52ecce8 -
Training in progress, step 3500
79878c1 -
Training in progress, step 2000
5312662 -
Training in progress, step 500
43a2ebd -
initial commit
1d8742b