Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use paulh27/xsum_aligned_smallT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/xsum_aligned_smallT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/xsum_aligned_smallT5") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/xsum_aligned_smallT5") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 30.77, | |
| "train_loss": 1.359188232421875, | |
| "train_runtime": 123.5443, | |
| "train_samples": 100, | |
| "train_samples_per_second": 25.902, | |
| "train_steps_per_second": 1.619 | |
| } |