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Browse filesThis is the base eMG-RNN model inspired by (possibly unorthodox) Minimalist intuitions: one layered LSTM/GRU-like structure with specific gating options designed to simulate C-command-like constraints (then interpreting Merge and Move as vector-unification operations sensitive to these constraints).
- eMG_RNN_base_model.pt +3 -0
- special_tokens_map.json +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +40 -0
eMG_RNN_base_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e1bc3c11dd4822cf97c0ab52e60b8ab39bce23f045944206d0d4b6f4a6767cd
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size 527167546
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special_tokens_map.json
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{
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"pad_token": "<pad>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<sos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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