Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:13690
loss:ContrastiveLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Shakhovak/tiny_sent_transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Shakhovak/tiny_sent_transformer with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Shakhovak/tiny_sent_transformer") sentences = [ "Тренажер на свободных весах DFC HOMEGYM HM019 в Москве", "Независимая бицепс-машина Matrix G7-S40", "Беговая дорожка Stingrey ST-9317", "Мультикомплекс Hasttings Digger HD003-7" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Shakhovak/tiny_sent_transformer: direct link, hf CLI and curl.
- Browser
- Download file 1.49 kB
-
https://huggingface.co/Shakhovak/tiny_sent_transformer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Shakhovak/tiny_sent_transformer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Shakhovak/tiny_sent_transformer/resolve/main/tokenizer_config.json
1.49 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "4": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": false, | |
| "mask_token": "[MASK]", | |
| "max_length": 512, | |
| "model_max_length": 2048, | |
| "never_split": null, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "[PAD]", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "[SEP]", | |
| "stride": 0, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "[UNK]" | |
| } | |