How to use from the
Use from the
Transformers library
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("gagan3012/k2t-tiny")
model = AutoModelForSeq2SeqLM.from_pretrained("gagan3012/k2t-tiny")
Quick Links

keytotext

keytotext (1)

Idea is to build a model which will take keywords as inputs and generate sentences as outputs.

Keytotext is powered by Huggingface ๐Ÿค—

pypi Version Downloads Open In Colab Streamlit App

Model:

Keytotext is based on the Amazing T5 Model:

Training Notebooks can be found in the Training Notebooks Folder

Usage:

Example usage: Open In Colab

Example Notebooks can be found in the Notebooks Folder

pip install keytotext

carbon (3)

UI:

UI: Streamlit App

pip install streamlit-tags

This uses a custom streamlit component built by me: GitHub

image

Downloads last month
8
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support