Transformers
PyTorch
English
t5
text2text-generation
keytotext
k2t
Keywords to Sentences
text-generation-inference
Instructions to use Apoorva/k2t-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apoorva/k2t-test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Apoorva/k2t-test") model = AutoModelForSeq2SeqLM.from_pretrained("Apoorva/k2t-test") - Notebooks
- Google Colab
- Kaggle
Quick Links
YAML Metadata Error:"model-index[0].results" is required
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
- 6
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Apoorva/k2t-test") model = AutoModelForSeq2SeqLM.from_pretrained("Apoorva/k2t-test")