Sentence Similarity
sentence-transformers
Safetensors
English
roberta
datadreamer
datadreamer-0.35.0
Synthetic
feature-extraction
text-embeddings-inference
Instructions to use StyleDistance/styledistance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use StyleDistance/styledistance with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("StyleDistance/styledistance") sentences = [ "Did you hear about the Wales wing? He'll h8 2 withdraw due 2 injuries from future competitions.", "We're raising funds 2 improve our school's storage facilities and add new playground equipment!", "Did you hear about the Wales wing? He'll hate to withdraw due to injuries from future competitions." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Inference
- Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from StyleDistance/styledistance: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/StyleDistance/styledistance/resolve/a2ef7ffb93f4af8d9727f65b602e260ba5d13607/special_tokens_map.json
- Command line
-
hf download hf://StyleDistance/styledistance@a2ef7ffb93f4af8d9727f65b602e260ba5d13607/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/StyleDistance/styledistance/resolve/a2ef7ffb93f4af8d9727f65b602e260ba5d13607/special_tokens_map.json
280 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |