Instructions to use paulh27/xsum_aligned_smallT5_iter2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5_iter2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5_iter2") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5_iter2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 7
Verified signatureacf7ef4 -
Training in progress, epoch 4
Verified signatureb74a751 -
Training in progress, epoch 4
Verified signature5db1914 -
Training in progress, epoch 2
Verified signature4031439 -
Training in progress, epoch 2
Verified signature666dcef -
Training in progress, epoch 0
Verified signature8f8d3b3