fse/glove-wiki-gigaword-300-raw-float16
Feature Extraction • 0.1B • Updated • 48
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Models
55
Active filters: fse
fse/glove-wiki-gigaword-300-sif10-float16
Feature Extraction • 0.1B • Updated • 54
fse/glove-wiki-gigaword-300-raw
Feature Extraction • 0.1B • Updated • 72
fse/glove-wiki-gigaword-300-sif10
Feature Extraction • 0.1B • Updated • 56
fse/paragram-300-sl999-raw-int8
Feature Extraction • 0.5B • Updated • 50
fse/paragram-300-sl999-sif10-int8
Feature Extraction • 0.5B • Updated • 51
fse/word2vec-google-news-300-raw-int8
Feature Extraction • 0.9B • Updated • 59
fse/word2vec-google-news-300-sif10-int8
Feature Extraction • 0.9B • Updated • 59
fse/paragram-300-sl999-raw-float16
Feature Extraction • 0.5B • Updated • 51
fse/paragram-300-sl999-sif10-float16
Feature Extraction • 0.5B • Updated • 48
fse/fasttext-crawl-subwords-300-raw-int8
Feature Extraction • 1B • Updated • 47
fse/fasttext-crawl-subwords-300-sif10-int8
Feature Extraction • 1B • Updated • 50
fse/word2vec-google-news-300-raw-float16
Feature Extraction • 0.9B • Updated • 58
fse/word2vec-google-news-300-sif10-float16
Feature Extraction • 0.9B • Updated • 60
fse/paragram-300-sl999-raw
Feature Extraction • 0.5B • Updated • 52
fse/paragram-300-sl999-sif10
Feature Extraction • 0.5B • Updated • 52
fse/fasttext-crawl-subwords-300-raw-float16
Feature Extraction • 1B • Updated • 49
fse/fasttext-crawl-subwords-300-sif10-float16
Feature Extraction • 1B • Updated • 52
fse/word2vec-google-news-300-raw
Feature Extraction • 0.9B • Updated • 64
fse/word2vec-google-news-300-sif10
Feature Extraction • 0.9B • Updated • 56
fse/fasttext-crawl-subwords-300-raw
Feature Extraction • 1B • Updated • 48
fse/fasttext-crawl-subwords-300-sif10
Feature Extraction • 1B • Updated • 45
fse/bekko-civil-comments-toxicity-classifier
Text Classification • 2.21M • Updated • 23
fse/bekko-aegis2-prompt-safety-classifier
Text Classification • 0.2B • Updated
fse/bekko-aegis2-prompt-categories-classifier
Text Classification • 0.2B • Updated