Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Seungjun/textSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seungjun/textSummary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Seungjun/textSummary") model = AutoModelForSeq2SeqLM.from_pretrained("Seungjun/textSummary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9ff95ab96db6aada4b5f3e8284c2bd736c28577180afc81357ea741f0b663dc
- Size of remote file:
- 242 MB
- SHA256:
- 7873e3b8437ee584e742ddd499e520bac159475abda929ff5627e1bdb2a83e6f
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