Transformers
PyTorch
JAX
English
t5
text2text-generation
keytotext
k2t
Keywords to Sentences
text-generation-inference
Instructions to use gagan3012/k2t-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gagan3012/k2t-new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gagan3012/k2t-new") model = AutoModelForSeq2SeqLM.from_pretrained("gagan3012/k2t-new") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cee9316266f155ed1be8fd14baccb11296c3868b939ab67052286cf03912994
- Size of remote file:
- 242 MB
- SHA256:
- 435494b6ae956e9fb22cf758b4936a0d18cd26ea303f5a9512b8b45ae93c8874
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