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
Download training_args.bin from mrm8488/t5-small-finetuned-text-simplification: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/mrm8488/t5-small-finetuned-text-simplification/resolve/main/training_args.bin
- Command line
-
hf download hf://mrm8488/t5-small-finetuned-text-simplification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrm8488/t5-small-finetuned-text-simplification/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 40d0c071f6094a446195194fc7cba162f1a7dda15e51df990883bb16248c0b94
- Size of remote file:
- 3.57 kB
- SHA256:
- 38ad05a9bfd4ea2555d053ab7e27fde53b21eb70fec8cb5ba17e9aa39c375a55
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