Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use chv5/t5-small-shuffled_take1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chv5/t5-small-shuffled_take1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chv5/t5-small-shuffled_take1") model = AutoModelForSeq2SeqLM.from_pretrained("chv5/t5-small-shuffled_take1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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by cherry0328 - opened
README.md
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- name: Rouge1
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type: rouge
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value: 11.9641
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.18.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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- name: Rouge1
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type: rouge
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value: 11.9641
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base_model:
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- google-t5/t5-small
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.18.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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