Add PFN™ branding to README.md

Add PFN™ to the model card heading and opening sentence to clearly identify GenerRNA as a model from Preferred Networks.

README.md

@@ -18,14 +18,14 @@ tags:
 pipeline_tag: text-generation
 ---
 
-# GenerRNA: A Generative Language Model for *de novo* RNA Design
+# GenerRNA: A PFN™ Generative Language Model for *de novo* RNA Design
 
 [![Paper (PLOS ONE)](https://img.shields.io/badge/Paper-PLOS%20ONE%202024-orange)](https://doi.org/10.1371/journal.pone.0310814)
 [![Preprint (bioRxiv)](https://img.shields.io/badge/Preprint-bioRxiv-red)](https://doi.org/10.1101/2024.02.01.578496)
 [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](./LICENSE)
 [![Model on Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-pfnet%2FGenerRNA-yellow)](https://huggingface.co/pfnet/GenerRNA)
 
-**GenerRNA is a generative pre-trained language model for *de novo* RNA sequence design.** It is a Transformer (decoder-only, GPT-style) model that learns the "language" of RNA from millions of natural sequences and can generate novel, realistic RNA sequences **without any structural input, functional label, or sequence alignment**. To our knowledge, GenerRNA is the first application of a generative language model to RNA generation.
+**GenerRNA is a PFN™ generative pre-trained language model for *de novo* RNA sequence design.** It is a Transformer (decoder-only, GPT-style) model that learns the "language" of RNA from millions of natural sequences and can generate novel, realistic RNA sequences **without any structural input, functional label, or sequence alignment**. To our knowledge, GenerRNA is the first application of a generative language model to RNA generation.
 
 With GenerRNA you can: