Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:81041718
loss:CoSENTLoss
text-embeddings-inference
Instructions to use samheym/GerBi-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use samheym/GerBi-Encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("samheym/GerBi-Encoder") sentences = [ "Welcher Whisky wird für blaues Blut verwendet?", "Versuchen Sie auch: 1 Blue Bloods Single Malt Scotch. 2 Scotch betrunken auf blauem Blut. 3 Finnerty's Scotch Whisky Blue Bloods. 4 trinkt Tom Selleck Scotch. 5 blaue Blut Scotch.", "...Menge... Ein Mol Saccharose und ein Mol Glucose beziehen sich auf die gleiche Menge an Molekülen. Denken Sie daran, dass der Maulwurf die Zähleinheit des Chemikers ist. Ein Mol von etwas ist 6.022137x10^23 Partikel einer Substanz.", "Pilgerfahrt nach Mekka. Mansa MÃ…«sÄÂ , entweder der Enkel oder der Großneffe von Sundiata, dem Begründer seiner Dynastie, bestieg 1307 den Thron. Im 17. Jahr seiner Herrschaft (1324) machte er sich auf den Weg seine berühmte Pilgerfahrt nach Mekka. Es war diese Pilgerfahrt, die die Welt für den erstaunlichen Reichtum Malis erweckte." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model
Browse files- 1_Pooling/config.json +10 -0
- README.md +0 -0
- config.json +25 -0
- config_sentence_transformers.json +10 -0
- model.safetensors +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +66 -0
- vocab.txt +0 -0
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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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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config.json
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{
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"_name_or_path": "evaluate2/data/c677379e-3bec-40d8-bcd5-29b53e47890b/checkpoint-130000",
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"architectures": [
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"BertModel"
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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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"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": "bert",
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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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"torch_dtype": "float32",
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"transformers_version": "4.48.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31102
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "3.4.1",
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"transformers": "4.48.2",
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"pytorch": "2.6.0+cu124"
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},
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"prompts": {},
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"default_prompt_name": null,
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"similarity_fn_name": "cosine"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:770c7c7c50a22ef2ae486e0d2c20b83f5dd0c9520c813c0a710f111af6bc9400
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size 439733088
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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": "",
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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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sentence_bert_config.json
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{
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"max_seq_length": 512,
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"do_lower_case": false
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}
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special_tokens_map.json
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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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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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"101": {
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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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"102": {
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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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"103": {
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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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"104": {
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"content": "[MASK]",
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| 37 |
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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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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"max_len": 512,
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"max_length": 512,
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"model_max_length": 512,
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"never_split": null,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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| 57 |
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"padding_side": "right",
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"sep_token": "[SEP]",
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"stride": 0,
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"strip_accents": false,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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vocab.txt
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