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* Electra wip * helpers * Electra wip * Electra v1 * ELECTRA may be saved/loaded * Generator & Discriminator * Embedding size instead of halving the hidden size * ELECTRA Tokenizer * Revert BERT helpers * ELECTRA Conversion script * Archive maps * PyTorch tests * Start fixing tests * Tests pass * Same configuration for both models * Compatible with base + large * Simplification + weight tying * Archives * Auto + Renaming to standard names * ELECTRA is uncased * Tests * Slight API changes * Update tests * wip * ElectraForTokenClassification * temp * Simpler arch + tests Removed ElectraForPreTraining which will be in a script * Conversion script * Auto model * Update links to S3 * Split ElectraForPreTraining and ElectraForTokenClassification * Actually test PreTraining model * Remove num_labels from configuration * wip * wip * From discriminator and generator to electra * Slight API changes * Better naming * TensorFlow ELECTRA tests * Accurate conversion script * Added to conversion script * Fast ELECTRA tokenizer * Style * Add ELECTRA to README * Modeling Pytorch Doc + Real style * TF Docs * Docs * Correct links * Correct model intialized * random fixes * style * Addressing Patrick's and Sam's comments * Correct links in docs |
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| .. | ||
| _static | ||
| imgs | ||
| main_classes | ||
| model_doc | ||
| benchmarks.md | ||
| bertology.rst | ||
| conf.py | ||
| converting_tensorflow_models.rst | ||
| examples.md | ||
| favicon.ico | ||
| glossary.rst | ||
| index.rst | ||
| installation.md | ||
| migration.md | ||
| model_sharing.md | ||
| multilingual.rst | ||
| notebooks.rst | ||
| pretrained_models.rst | ||
| quickstart.md | ||
| serialization.rst | ||
| torchscript.rst | ||
| usage.rst | ||