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bi-electra-ms-marco-german-uncased

Feature Extraction Transformers PyTorch electra Inference Endpoints 4 papers
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  1. 0_Transformer/config.json +0 -27
  2. 1_Pooling/config.json +0 -7
  3. README.md +1 -1
  4. config.json +26 -2
  5. modules.json +0 -14
  6. 0_Transformer/pytorch_model.bin → pytorch_model.bin +0 -0
  7. 0_Transformer/sentence_bert_config.json → sentence_bert_config.json +0 -0
  8. 0_Transformer/special_tokens_map.json → special_tokens_map.json +0 -0
  9. 0_Transformer/tokenizer.json → tokenizer.json +0 -0
  10. 0_Transformer/tokenizer_config.json → tokenizer_config.json +0 -0
  11. 0_Transformer/vocab.txt → vocab.txt +0 -0
0_Transformer/config.json DELETED
@@ -1,27 +0,0 @@
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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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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1_Pooling/config.json DELETED
@@ -1,7 +0,0 @@
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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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- }
 
 
 
 
 
 
 
README.md CHANGED
@@ -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-1")
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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
config.json CHANGED
@@ -1,3 +1,27 @@
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  {
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- "__version__": "1.2.0"
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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,
7
+ "embedding_size": 768,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "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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+ }
modules.json DELETED
@@ -1,14 +0,0 @@
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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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- ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0_Transformer/pytorch_model.bin → pytorch_model.bin RENAMED
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0_Transformer/sentence_bert_config.json → sentence_bert_config.json RENAMED
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0_Transformer/special_tokens_map.json → special_tokens_map.json RENAMED
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0_Transformer/tokenizer.json → tokenizer.json RENAMED
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0_Transformer/tokenizer_config.json → tokenizer_config.json RENAMED
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0_Transformer/vocab.txt → vocab.txt RENAMED
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