Instructions to use rooftopcoder/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/tst-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/tst-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/tst-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 196 Bytes
79ae072 | 1 2 3 4 5 6 7 8 | {
"epoch": 3.0,
"train_loss": 0.960862031856172,
"train_runtime": 14121.0621,
"train_samples": 108647,
"train_samples_per_second": 23.082,
"train_steps_per_second": 2.885
} |