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ProtSent-V2-35M

Sentence Similarity

sentence-transformers

contrastive-learning

protein-embeddings

Model card Files Files and versions

ProtSent-V2-35M

134 MB

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1 contributor

History: 3 commits

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Model card: normal card, no DMS claim, training config and results

497c50c verified 10 days ago

1_Pooling
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
.gitattributes

1.52 kB
initial commit 10 days ago
README.md

5.14 kB
Model card: normal card, no DMS claim, training config and results 10 days ago
config.json

1.65 kB
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
config_sentence_transformers.json

284 Bytes
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
fastplms_bundle.py

138 kB
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
model.safetensors

134 MB
xet

ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
modeling_fastplms.py

7.73 kB
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
modules.json

277 Bytes
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
sentence_bert_config.json

241 Bytes
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
tokenizer_config.json

1.18 kB
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
training_args.bin

5.59 kB
xet

ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago
vocab.txt

93 Bytes
ProtSent-V2-35M: retrained on the 40%/80% decontaminated corpus 10 days ago