💡GENIUS – generating text using sketches!
💡GENIUS is a powerful conditional text generation model using sketches as input, which can fill in the missing contexts for a given sketch (key information consisting of textual spans, phrases, or words, concatenated by mask tokens). GENIUS is pre-trained on a large- scale textual corpus with a novel reconstruction from sketch objective using an extreme and selective masking strategy, enabling it to generate diverse and high-quality texts given sketches.
- Models hosted in 🤗 Huggingface:
Model variations:
| Model | #params | Language | comment |
|---|---|---|---|
genius-large |
406M | English | The version used in paper (recommend) |
genius-large-k2t |
406M | English | keywords-to-text |
genius-base |
139M | English | smaller version |
genius-base-ps |
139M | English | pre-trained both in paragraphs and short sentences |
genius-base-chinese |
116M | 中文 | 在一千万纯净中文段落上预训练 |
- Downloads last month
- 10
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.