Sentence Similarity
sentence-transformers
Safetensors
Tibetan
English
bert
feature-extraction
Generated from Trainer
dataset_size:878004
loss:MSELoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use billingsmoore/minilm-bo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use billingsmoore/minilm-bo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("billingsmoore/minilm-bo") sentences = [ "Finally all melt into light and dissolve into me", "- - གཡུང་དྲུང་འཇིགས་མེད།", "མཐར་ནི་འོད་ཞུ་རང་ལ་ཐིམ།།", "དེ་ཤེས་རབ་ཀྱི་ཕ་རོལ་ཏུ་ཕྱིན་པ་ལ་སྤྱོད་པའི་ཚེ། རྣམ་པ་ཐམས་ཅད་མཁྱེན་པ་ཉིད་དང་ལྡན་པའི་ཡིད་ལ་བྱ་བ་མེད་པར། གཟུགས་འདུས་བྱས་སྟོང་པ་ཞེས་བྱ་བར་ཡིད་ལ་བྱེད་དེ། དམིགས་པའི་ཚུལ་གྱིས་འདུས་བྱས་སྟོང་པ་ཉིད་ཀྱང་དམིགས་ལ། སྟོང་པ་ཉིད་ཀྱིས་ཀྱང་རློམ་སེམས་སུ་བྱེད་དོ། །" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "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, | |
| "extra_special_tokens": {}, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |