Sentence Similarity
sentence-transformers
ONNX
Safetensors
xlm-roberta
feature-extraction
dense
Generated from Trainer
dataset_size:10134
loss:CachedMultipleNegativesRankingLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use malma0/e5-gesn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use malma0/e5-gesn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("malma0/e5-gesn") sentences = [ "query: грунтовка стен квартиры", "passage: Отделочные работы. Окраска фасадов с люлек по подготовленной поверхности: силикатная. Ед. изм.: 100 м2", "passage: Отделочные работы. Покрытие поверхностей грунтовкой глубокого проникновения: за 1 раз стен. Ед. изм.: 100 м2", "passage: Отделочные работы. Покрытие поверхностей грунтовкой глубокого проникновения: за 2 раза стен. Ед. изм.: 100 м2" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from malma0/e5-gesn: direct link, hf CLI and curl.
- Browser
- Download file 573 Bytes
-
https://huggingface.co/malma0/e5-gesn/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://malma0/e5-gesn/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/malma0/e5-gesn/resolve/main/tokenizer_config.json
573 Bytes
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "max_length": 512, | |
| "model_max_length": 512, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<pad>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "</s>", | |
| "stride": 0, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "<unk>" | |
| } | |