Transformers
Safetensors
English
t5
text2text-generation
text-summarization
Generated from Trainer
text-generation-inference
Instructions to use agentlans/text-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/text-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("agentlans/text-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("agentlans/text-summarization") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 10.0, | |
| "total_flos": 2.615057185279181e+16, | |
| "train_loss": 1.8617943959923335, | |
| "train_runtime": 1938.923, | |
| "train_samples": 21811, | |
| "train_samples_per_second": 112.49, | |
| "train_steps_per_second": 14.065 | |
| } |