Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use mrm8488/t5-small-finetuned-text-simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/t5-small-finetuned-text-simplification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-small-finetuned-text-simplification") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-small-finetuned-text-simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98177d10d2ce97a80f7fa915abacff783ac0ad7033b0ebb79b08b8f9762f4d2c
- Size of remote file:
- 242 MB
- SHA256:
- da7890699bcb91de81d46cabe175bbacff9d31d2e9badc83dc2ada3e2345ca88
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