Instructions to use amosc00/k2t-tesssst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amosc00/k2t-tesssst with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amosc00/k2t-tesssst") model = AutoModelForSeq2SeqLM.from_pretrained("amosc00/k2t-tesssst") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
language: "en" thumbnail: "Keywords to Sentences" tags:
- keytotext
- k2t
- Keywords to Sentences
tasks:
- Text Generation
model-index:
- name: k2t-tesssst
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
Potential use case can include:
- Marketing
- Search Engine Optimization
- Topic generation etc.
- Fine tuning of topic modeling models
- Downloads last month
- 3
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