Transformers
Safetensors
t5
text2text-generation
simplification
Generated from Trainer
text-generation-inference
Instructions to use feserrm/t5-small-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feserrm/t5-small-neutralization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("feserrm/t5-small-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("feserrm/t5-small-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d1c12bf3018df4094209b204b26152919122202f7d624d46eb3983bedbf8749
- Size of remote file:
- 5.43 kB
- SHA256:
- 7fcf19e7b6a430099d468f98dbf0cf0345345f8bffaf7722661a9ce0540c537c
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