prot_bert

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122
40K
Extended context
378M
—
by
Rostlab
Language Model
OTHER
Fair
55K downloads
Community-tested
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Edge AI:
Mobile
Laptop
Server
1GB+ RAM
Mobile
Laptop
Server
Quick Summary

Pretrained model on protein sequences using a masked language modeling (MLM) objective.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

pythontransformers
from transformers import BertModel, BertTokenizer
import re
tokenizer = BertTokenizer.from_pretrained("Rostlab/prot_bert", do_lower_case=False )
model = BertModel.from_pretrained("Rostlab/prot_bert")
sequence_Example = "A E T C Z A O"
sequence_Example = re.sub(r"[UZOB]", "X", sequence_Example)
encoded_input = tokenizer(sequence_Example, return_tensors='pt')
output = model(**encoded_input)

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