---
tags:
- RNA
size_categories:
- 10K<n<100K
---
Both gfp_embeddings.pt and adar2_embeddings.pt are embeddings created using facebook/esm2_t33_650M_UR50D model. You can load embeddings as follows:

```
from huggingface_hub import hf_hub_download

file_path = hf_hub_download(
    repo_id="Nuri-Tas/rna_datasets",
    filename="gfp_embeddings.pt",
    repo_type="dataset"
)
gfp_embeddings = torch.load(file_path)
```

There are in total 56086 corresponding embeddings with embedding size 1280 for gfp dataset. Note that, embeddings contain embeddings for duplicate items.