Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:1362
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use zihoo/all-MiniLM-L6-v2-IDT-multirank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use zihoo/all-MiniLM-L6-v2-IDT-multirank with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zihoo/all-MiniLM-L6-v2-IDT-multirank") sentences = [ " Doubts haunt me in interactions with this individual. ", " There's a probability of being deceived by this person. ", " My intuition warns me against this individual. ", " There's a high chance of betrayal with this individual. " ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download sentence_bert_config.json from zihoo/all-MiniLM-L6-v2-IDT-multirank: direct link, hf CLI and curl.
- Browser
- Download file 53 Bytes
-
https://huggingface.co/zihoo/all-MiniLM-L6-v2-IDT-multirank/resolve/main/sentence_bert_config.json
- Command line
-
hf download hf://zihoo/all-MiniLM-L6-v2-IDT-multirank/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/zihoo/all-MiniLM-L6-v2-IDT-multirank/resolve/main/sentence_bert_config.json
53 Bytes
| { | |
| "max_seq_length": 256, | |
| "do_lower_case": false | |
| } |