Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
mpnet
feature-extraction
medical
biology
Instructions to use FremyCompany/BioLORD-2023-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FremyCompany/BioLORD-2023-C with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FremyCompany/BioLORD-2023-C") sentences = [ "bartonellosis", "cat scratch disease", "cat scratch wound", "tick-borne orbivirus fever", "cat fur" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [5, 5] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
bbe32ad
1
Parent(s): c987ce5
Remove sentence_transformers wrapper
Browse files- 0_Transformer/config.json +0 -25
- 1_Pooling/config.json +0 -7
- config.json +24 -2
- modules.json +0 -14
- 0_Transformer/pytorch_model.bin → pytorch_model.bin +0 -0
- 0_Transformer/sentence_bert_config.json → sentence_bert_config.json +0 -0
- 0_Transformer/special_tokens_map.json → special_tokens_map.json +0 -0
- 0_Transformer/tokenizer_config.json → tokenizer_config.json +0 -0
- 0_Transformer/vocab.txt → vocab.txt +0 -0
0_Transformer/config.json
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{
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"__version__": "1.2.0",
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"_name_or_path": "output/sick_sts_mednlisim_medsts_defs4b_medcycle1_stamb-2023-09-17_20-30-20/0_Transformer/",
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"architectures": [
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"MPNetModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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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-05,
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"max_position_embeddings": 514,
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"model_type": "mpnet",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_hidden_states": true,
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"transformers_version": "4.2.2",
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"vocab_size": 30527
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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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config.json
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"__version__": "1.2.0"
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{
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"__version__": "1.2.0",
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"_name_or_path": "output/sick_sts_mednlisim_medsts_defs4b_medcycle1_stamb-2023-09-17_20-30-20/0_Transformer/",
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"architectures": [
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"MPNetModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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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-05,
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"max_position_embeddings": 514,
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"model_type": "mpnet",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_hidden_states": true,
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"transformers_version": "4.2.2",
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"vocab_size": 30527
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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 → pytorch_model.bin
RENAMED
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File without changes
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0_Transformer/sentence_bert_config.json → sentence_bert_config.json
RENAMED
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File without changes
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0_Transformer/special_tokens_map.json → special_tokens_map.json
RENAMED
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File without changes
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0_Transformer/tokenizer_config.json → tokenizer_config.json
RENAMED
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File without changes
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0_Transformer/vocab.txt → vocab.txt
RENAMED
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File without changes
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