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Bert_protein_classifier

Text Classification
Transformers
Safetensors
bert
proteins
Biology
classifier
text-embeddings-inference
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README.md CHANGED
@@ -20,4 +20,95 @@ outputs probability scores. (How likely is it that this sequence belongs to this
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  The way you use this model for a demo is, you paste a protein sequence
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  into the inference box and it outputs the relevant probabilities that certain GO terms are
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  associated with that sequence.
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- For example MMSTTHLLVFLLGVVTLTTPTFGTYESPNYGKPPTPVFKPPKVKPPPYEPKPPVYEPPKKEKPEPKPPVYAPPKKEKHGPKPTMYEPPKKEKPEPKPPVYTPPKKEVPKPKPPVYEPPKKEKPEPKPPIYTPPKKEKPEPKPPVYEPPKKEKPEPKPPVYTPPKKEKPEPKPPVYEPPKKPPMYEPKPPKPPVYTPPKKEKPEPKPPMYEPPKKPPMYEPKPPKPPVYTPPKKEKPEPKPPMYQPPNNPPIYEPKPPKPPVYAPPKEEKPKPKPPVYEPPAHEPPYGHYPGHPPLGKPQ
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The way you use this model for a demo is, you paste a protein sequence
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  into the inference box and it outputs the relevant probabilities that certain GO terms are
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  associated with that sequence.
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+ For example MMSTTHLLVFLLGVVTLTTPTFGTYESPNYGKPPTPVFKPPKVKPPPYEPKPPVYEPPKKEKPEPKPPVYAPPKKEKHGPKPTMYEPPKKEKPEPKPPVYTPPKKEVPKPKPPVYEPPKKEKPEPKPPIYTPPKKEKPEPKPPVYEPPKKEKPEPKPPVYTPPKKEKPEPKPPVYEPPKKPPMYEPKPPKPPVYTPPKKEKPEPKPPMYEPPKKPPMYEPKPPKPPVYTPPKKEKPEPKPPMYQPPNNPPIYEPKPPKPPVYAPPKEEKPKPKPPVYEPPAHEPPYGHYPGHPPLGKPQ
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+
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+
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+ outputs the following score
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+ ```
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+ [
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+ [
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+ {
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+ "label": "GO:0000122",
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+ "score": 0.29775485396385193
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+ },
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+ {
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+ "label": "GO:0000070",
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+ "score": 0.10477513074874878
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+ },
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+ {
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+ "label": "GO:0000075",
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+ "score": 0.08593793958425522
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+ },
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+ {
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+ "label": "GO:0000118",
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+ "score": 0.05860009789466858
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+ },
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+ {
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+ "label": "GO:0000082",
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+ "score": 0.05373986065387726
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+ },
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+ {
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+ "label": "GO:0000077",
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+ "score": 0.03928716108202934
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+ },
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+ {
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+ "label": "GO:0000096",
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+ "score": 0.03705739229917526
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+ },
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+ {
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+ "label": "GO:0000079",
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+ "score": 0.02797592058777809
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+ },
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+ {
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+ "label": "GO:0000045",
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+ "score": 0.026528609916567802
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+ },
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+ {
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+ "label": "GO:0000097",
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+ "score": 0.026119187474250793
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+ },
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+ {
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+ "label": "GO:0000086",
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+ "score": 0.019697198644280434
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+ },
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+ {
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+ "label": "GO:0000049",
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+ "score": 0.018551582470536232
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+ },
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+ {
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+ "label": "GO:0000041",
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+ "score": 0.016929756850004196
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+ },
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+ {
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+ "label": "GO:0000054",
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+ "score": 0.015105823054909706
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+ },
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+ {
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+ "label": "GO:0000083",
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+ "score": 0.01434631273150444
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+ },
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+ {
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+ "label": "GO:0000105",
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+ "score": 0.013960960321128368
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+ },
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+ {
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+ "label": "GO:0000076",
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+ "score": 0.013064960949122906
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+ },
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+ {
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+ "label": "GO:0000109",
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+ "score": 0.012523632496595383
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+ },
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+ {
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+ "label": "GO:0000113",
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+ "score": 0.012152223847806454
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+ },
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+ {
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+ "label": "GO:0000062",
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+ "score": 0.01127714291214943
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+ },
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+ {
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+ "label": "GO:0000101",
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+ "score": 0.011041304096579552
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+ },
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+ ```