Adding Neuron-optimized model files
Browse files🤖 Neuron Export Bot: On behalf of [badaoui](https://huggingface.co/badaoui), adding AWS Neuron-optimized model files.
Neuron-optimized models can achieve high-performance inference on AWS Inferentia and Trainium chips. Learn more:
- [AWS Neuron Documentation](https://awsdocs-neuron.readthedocs-hosted.com)
- [🤗 Optimum Neuron Guide](https://huggingface.co/docs/optimum-neuron/index)
- .gitattributes +1 -0
- README.md +2 -1
- neuron/config.json +57 -0
- neuron/model.neuron +3 -0
- neuron/special_tokens_map.json +37 -0
- neuron/tokenizer.json +0 -0
- neuron/tokenizer_config.json +56 -0
- neuron/vocab.txt +0 -0
.gitattributes
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@@ -7,3 +7,4 @@
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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neuron/model.neuron filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language: en
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thumbnail: https://huggingface.co/front/thumbnails/google.png
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-
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license: apache-2.0
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---
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**WARNING**: This is the official generator checkpoint as in the [ELECTRA original codebase](https://github.com/google-research/electra). However, this model is not scaled properly for pre-training with [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator). The paper recommends a hyperparameter multiplier of 1/4 between the discriminator and generator for this given model to avoid training instabilities. This would not be the case when using `google/electra-small-generator` and `google/electra-small-discriminator`, which are similar in size.
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---
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language: en
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thumbnail: https://huggingface.co/front/thumbnails/google.png
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license: apache-2.0
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tags:
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- neuron
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---
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**WARNING**: This is the official generator checkpoint as in the [ELECTRA original codebase](https://github.com/google-research/electra). However, this model is not scaled properly for pre-training with [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator). The paper recommends a hyperparameter multiplier of 1/4 between the discriminator and generator for this given model to avoid training instabilities. This would not be the case when using `google/electra-small-generator` and `google/electra-small-discriminator`, which are similar in size.
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neuron/config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "/tmp/tmpc0qb1ezb",
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"architectures": [
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"ElectraForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"embedding_size": 128,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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"neuron": {
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"auto_cast": null,
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"auto_cast_type": null,
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"compiler_type": "neuronx-cc",
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"compiler_version": "2.15.143.0+e39249ad",
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"disable_fallback": false,
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"disable_fast_relayout": false,
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"dynamic_batch_size": false,
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"inline_weights_to_neff": true,
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"input_names": [
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"input_ids",
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"attention_mask",
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"token_type_ids"
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],
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"model_type": "electra",
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"optlevel": "2",
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"output_attentions": false,
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"output_hidden_states": false,
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"output_names": [
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"logits"
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],
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"static_batch_size": 1,
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"static_sequence_length": 128,
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"tensor_parallel_size": 1
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},
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"num_attention_heads": 4,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"task": "fill-mask",
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"torchscript": true,
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"transformers_version": "4.48.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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neuron/model.neuron
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version https://git-lfs.github.com/spec/v1
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oid sha256:f300b48964395ea9f73f80a4e18755f338d2946e2266d48e78a68951c6bd104b
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size 64937981
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neuron/special_tokens_map.json
ADDED
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{
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"cls_token": {
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"content": "[CLS]",
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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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},
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"mask_token": {
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"content": "[MASK]",
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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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},
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"pad_token": {
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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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},
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"sep_token": {
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"content": "[SEP]",
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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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},
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"unk_token": {
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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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}
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}
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neuron/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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neuron/tokenizer_config.json
ADDED
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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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"100": {
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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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"101": {
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"content": "[CLS]",
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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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"102": {
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"content": "[SEP]",
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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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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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| 39 |
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"rstrip": false,
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| 40 |
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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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| 44 |
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"clean_up_tokenization_spaces": false,
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| 45 |
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"cls_token": "[CLS]",
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| 46 |
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"do_lower_case": true,
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| 47 |
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"extra_special_tokens": {},
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| 48 |
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"mask_token": "[MASK]",
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| 49 |
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"model_max_length": 512,
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| 50 |
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"pad_token": "[PAD]",
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| 51 |
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"sep_token": "[SEP]",
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| 52 |
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"strip_accents": null,
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| 53 |
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"tokenize_chinese_chars": true,
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| 54 |
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"tokenizer_class": "ElectraTokenizer",
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| 55 |
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"unk_token": "[UNK]"
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}
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neuron/vocab.txt
ADDED
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The diff for this file is too large to render.
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