Commit History
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Replace weights with the paper's final model (run 073017)
- pytorch_model.bin: 30-epoch from-scratch pretraining run reported in the paper (global attention in every layer), fp32. Replaces the earlier upload of the windowed local-global ablation variant. - config.json: matches the training architecture (global_attn_every_n_layers=1, local_attention=512); token-id fields corrected to match vocab.json. - tokenizer_config.json: add missing 'k' (from_pretrained crashed without it). - tokenizer.py: map U->T in _tokenize so RNA-alphabet input tokenizes correctly (previously produced [UNK]); T-alphabet encoding unchanged. - README: architecture note and weight-version note.c3eb14b
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Upload RNAElectra pretrained model weights and tokenizer
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