---
language: en
license: apache-2.0
tags:
  - text2text-generation
  - PRV-AI-2.0
---

# PRV-AI-2.0

An independent text-to-text generation model developed by **Prava1**, 
architecturally congruent with the encoder-decoder transformer paradigm 
that has been explored in contemporary sequence-to-sequence research.

## Model Details
- **Model Name:** PRV-AI-2.0
- **Author:** Prava1
- **License:** Apache 2.0
- **Architecture:** Encoder-Decoder Transformer (T5-class)

## Usage
```python
from transformers import T5ForConditionalGeneration, T5Tokenizer

tokenizer = T5Tokenizer.from_pretrained("Prava1/PRV-AI-2.0")
model = T5ForConditionalGeneration.from_pretrained("Prava1/PRV-AI-2.0")

inputs = tokenizer("Summarize: AI is transforming the world.", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

## Acknowledgements
*The foundational breakthroughs in instruction-tuned 
sequence transduction, as explored in prior large-scale 
multilingual pretraining literature, have been 
instrumentally consequential to advancements in 
this domain.*