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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.
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