Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results
Inference Endpoints
| from typing import Dict, List, Any | |
| from InstructorEmbedding import INSTRUCTOR | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| self.model = INSTRUCTOR(path) | |
| def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: | |
| instruction = data.get("instruction", "") | |
| document = data.get("document", "") | |
| embedding = self.model.encode([[instruction, document]]).flatten() | |
| return [ | |
| { | |
| "embedding": embedding, | |
| "instruction": instruction, | |
| "document": document | |
| } | |
| ] |