Transformers
Safetensors
t5
text2text-generation
flan-t5
detoxification
polite-rewriting
text-to-text
text-generation-inference
Instructions to use RinaldiDev/flan_paradetox_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RinaldiDev/flan_paradetox_full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RinaldiDev/flan_paradetox_full") model = AutoModelForSeq2SeqLM.from_pretrained("RinaldiDev/flan_paradetox_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from RinaldiDev/flan_paradetox_full: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/RinaldiDev/flan_paradetox_full/resolve/main/tokenizer.json
- Command line
-
hf download hf://RinaldiDev/flan_paradetox_full/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/RinaldiDev/flan_paradetox_full/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.