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
Commit ·
fe2f42f
1
Parent(s): 7021754
Training in progress, step 500
Browse files- pytorch_model.bin +1 -1
- runs/Apr24_12-05-34_nu3665w60g/events.out.tfevents.1650802065.nu3665w60g.109.0 +2 -2
- runs/Apr24_14-01-50_nu3665w60g/1650808918.4622662/events.out.tfevents.1650808918.nu3665w60g.109.4 +3 -0
- runs/Apr24_14-01-50_nu3665w60g/events.out.tfevents.1650808918.nu3665w60g.109.3 +3 -0
- training_args.bin +1 -1
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