Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use JulianS/t5-base-finetuned-summscreen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulianS/t5-base-finetuned-summscreen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JulianS/t5-base-finetuned-summscreen") model = AutoModelForSeq2SeqLM.from_pretrained("JulianS/t5-base-finetuned-summscreen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
88abf25 -
Update README.md
1fafcb3
-
update model card README.md
0e774cc -
End of training
6a43102 -
Training in progress, step 35000
8e40095 -
Training in progress, step 31500
21cac12 -
Training in progress, step 28000
1677577 -
Training in progress, step 24500
ad0a527 -
Training in progress, step 21000
c599c25 -
Training in progress, step 17500
e756753 -
Training in progress, step 14000
74993df -
Training in progress, step 10500
c63cd01
-
Training in progress, step 3500
3030bc8 -
initial commit
ebf937d