Transformers
PyTorch
English
t5
text2text-generation
keytotext
k2t
Keywords to Sentences
text-generation-inference
Instructions to use khanglam7012/t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanglam7012/t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("khanglam7012/t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("khanglam7012/t5-small") - Notebooks
- Google Colab
- Kaggle
keytotext
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
Keytotext is powered by Huggingface ๐ค
Model:
Keytotext is based on the Amazing T5 Model:
k2t: Modelk2t-tiny: Modelk2t-base: Model Training Notebooks can be found in theTraining NotebooksFolder
Usage:
Example usage:
Example Notebooks can be found in the
Notebooks Folder
pip install keytotext
UI:
pip install streamlit-tags
This uses a custom streamlit component built by me: GitHub

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