Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use domenicrosati/t5-small-finetuned-contradiction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use domenicrosati/t5-small-finetuned-contradiction with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="domenicrosati/t5-small-finetuned-contradiction")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("domenicrosati/t5-small-finetuned-contradiction") model = AutoModelForSeq2SeqLM.from_pretrained("domenicrosati/t5-small-finetuned-contradiction") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr24_00-08-24_nwjia1q4ql
- Apr24_00-11-24_nwjia1q4ql
- Apr24_00-45-15_nwjia1q4ql
- Apr24_00-56-12_nwjia1q4ql
- Apr24_00-57-18_nwjia1q4ql
- Apr24_12-05-34_nu3665w60g
- Apr24_14-01-50_nu3665w60g
- Apr24_19-37-16_nzetpmooje
- Apr24_22-30-03_nzetpmooje
- Apr24_23-41-42_n9xnv5vugu
- Apr25_11-03-15_n10qrbgzli
- Apr27_11-07-38_nxhmkp5p5e
- Apr27_22-42-05_nxix6na421