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=""): | |
# load model on gpu | |
self.model = INSTRUCTOR(path, device="cuda") | |
def __call__(self, data: Dict[str, Any]) -> List[List[float]]: | |
""" | |
data args: | |
inputs (:obj: `str`) | |
Return: | |
A :obj:`list` | `dict`: will be serialized and returned | |
""" | |
# get inputs | |
inputs: dict = data.pop("inputs", data) | |
print(inputs) | |
# add instruction | |
query = [['Retrieve documents that can help answer the question:', | |
inputs]] | |
# encode | |
embedding = self.model.encode(query) | |
return embedding |