wrong files uploaded
Browse files- 0_Transformer/config.json +0 -27
- 1_Pooling/config.json +0 -7
- README.md +1 -1
- config.json +26 -2
- modules.json +0 -14
- 0_Transformer/pytorch_model.bin β pytorch_model.bin +0 -0
- 0_Transformer/sentence_bert_config.json β sentence_bert_config.json +0 -0
- 0_Transformer/special_tokens_map.json β special_tokens_map.json +0 -0
- 0_Transformer/tokenizer.json β tokenizer.json +0 -0
- 0_Transformer/tokenizer_config.json β tokenizer_config.json +0 -0
- 0_Transformer/vocab.txt β vocab.txt +0 -0
0_Transformer/config.json
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{
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"_name_or_path": "german-nlp-group/electra-base-german-uncased",
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"architectures": [
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"ElectraModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 768,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"num_attention_heads": 12,
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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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"transformers_version": "4.6.1",
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"type_vocab_size": 2,
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"vocab_size": 32767
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}
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1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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README.md
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@@ -33,7 +33,7 @@ With ```sentence-transformers``` package (see [UKPLab/sentence-transformers](htt
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```python
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from sentence_transformers import SentenceTransformer
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bi_model = SentenceTransformer("svalabs/bi-electra-ms-marco-german-uncased
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```
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### Semantic Search Example
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```python
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from sentence_transformers import SentenceTransformer
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bi_model = SentenceTransformer("svalabs/bi-electra-ms-marco-german-uncased")
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```
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### Semantic Search Example
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config.json
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{
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"_name_or_path": "german-nlp-group/electra-base-german-uncased",
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"architectures": [
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"ElectraModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 768,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"num_attention_heads": 12,
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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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"transformers_version": "4.6.1",
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"type_vocab_size": 2,
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"vocab_size": 32767
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}
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "0_Transformer",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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}
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]
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0_Transformer/pytorch_model.bin β pytorch_model.bin
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0_Transformer/sentence_bert_config.json β sentence_bert_config.json
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0_Transformer/special_tokens_map.json β special_tokens_map.json
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0_Transformer/tokenizer.json β tokenizer.json
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0_Transformer/tokenizer_config.json β tokenizer_config.json
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0_Transformer/vocab.txt β vocab.txt
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