mmBERT is trained on 3T tokens from over 1800 languages, showing SoTA scores on benchmarks and exceptional low-resource performance
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Papers
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jhu-clsp/mmBERT-small
Fill-Mask • Updated • 33.6k • • 76
jhu-clsp/mmBERT-base
Fill-Mask • Updated • 321k • • 209
jhu-clsp/mmBERT-checkpoints
Updated • 4
jhu-clsp/ettin-decoder-1b
Fill-Mask • Updated • 18 • 5
jhu-clsp/ettin-decoder-32m
Text Generation • Updated • 677
jhu-clsp/ettin-encoder-1b
Feature Extraction • Updated • 2.55k • 22
jhu-clsp/ettin-encoder-68m
Fill-Mask • Updated • 5.06k • • 5
jhu-clsp/ettin-dec-from-enc-32m
Text Generation • Updated • 7
jhu-clsp/ettin-encoder-150m
Fill-Mask • Updated • 17.8k • • 13
jhu-clsp/ettin-decoder-400m
Text Generation • Updated • 3.58k • 4
datasets 40
jhu-clsp/ManyIH-Bench
Preview • Updated • 58 • 3
jhu-clsp/robust04-instructions
Viewer • Updated • 136k • 585 • 2
jhu-clsp/core17-instructions
Viewer • Updated • 49.4k • 471 • 2
jhu-clsp/news21-instructions
Viewer • Updated • 71.5k • 417 • 1
jhu-clsp/SciTaRC
Viewer • Updated • 371 • 14 • 1
jhu-clsp/megawika-2
Updated • 527 • 4
jhu-clsp/mmBERT-decay-data
Updated • 2.23k • 6
jhu-clsp/mmBERT-midtraining-data
Updated • 34.4k • 1
jhu-clsp/ettin-pretraining-data
Updated • 6.84k • 9
jhu-clsp/ettin-decay-data
Updated • 1.6k • 1