Small BERT L-2_H-768_A-12
Small BERT L-2_H-768_A-12 is Google's language model. A shallow small BERT text classification model with 2 layers and 768 hidden units, providing base-model width at minimal depth for English text tasks.
Capabilities
Input1/5
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Output1/5
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Capabilities0/13
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Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| BERT Base Uncased | β | β | β | β | Available |
| BERT 2 EN Uncased L-10 H-256 A-4 | β | β | β | β | Available |
| BERT 2 EN Uncased L-10 H-512 A-8 | β | β | β | β | Available |
| BERT 2 EN Uncased L-10 H-768 A-12 | β | β | β | β | Available |
| BERT 2 EN Uncased L-12 H-128 A-2 | β | β | β | β | Available |
| BERT 2 EN Uncased L-12 H-512 A-8 | β | β | β | β | Available |
| BERT 2 EN Uncased L-2 H-128 A-2 | β | β | β | β | Available |
| BERT 2 EN Uncased L-2 H-512 A-8 | β | β | β | β | Available |
| BERT 2 EN Uncased L-2 H-768 A-12 | β | β | β | β | Available |
| BERT Base Cased | β | β | β | β | Available |
| Small BERT L-2_H-768_A-12 | β | β | β | β | Current |