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Modify RiNALMoWrapper to accept variant parameter #326

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Merged
lucidrains merged 1 commit into from
Sep 18, 2025
Merged

Modify RiNALMoWrapper to accept variant parameter #326

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10 changes: 4 additions & 6 deletions alphafold3_pytorch/nlm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,18 +52,16 @@ def inner(self, *args, **kwargs):
class RiNALMoWrapper(Module):
"""A wrapper for the RiNALMo model to provide NLM embeddings."""

def __init__(self):
def __init__(self, variant: str = "rinalmo-giga"):
super().__init__()
from multimolecule import RiNALMoModel, RnaTokenizer

self.register_buffer("dummy", tensor(0), persistent=False)

self.tokenizer = RnaTokenizer.from_pretrained(
"multimolecule/rinalmo", replace_T_with_U=False
)
self.model = RiNALMoModel.from_pretrained("multimolecule/rinalmo")
self.tokenizer = RnaTokenizer.from_pretrained("multimolecule/" + variant, replace_T_with_U=False)
self.model = RiNALMoModel.from_pretrained("multimolecule/" + variant)

self.embed_dim = 1280
self.embed_dim = self.model.config.hidden_size

@torch.no_grad()
@typecheck
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