Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use smart-tribune/sentence-transformers-multilingual-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use smart-tribune/sentence-transformers-multilingual-e5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("smart-tribune/sentence-transformers-multilingual-e5-base") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from smart-tribune/sentence-transformers-multilingual-e5-base: direct link, hf CLI and curl.
- Browser
- Download file 650 Bytes
-
https://huggingface.co/smart-tribune/sentence-transformers-multilingual-e5-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://smart-tribune/sentence-transformers-multilingual-e5-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/smart-tribune/sentence-transformers-multilingual-e5-base/resolve/main/tokenizer_config.json
650 Bytes
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "name_or_path": "intfloat/multilingual-e5-base", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": "/home/ludom/.cache/huggingface/hub/models--intfloat--multilingual-e5-base/snapshots/835193815a3936a24a0ee7dc9e3d48c1fbb19c55/special_tokens_map.json", | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |