plano/embedding-server/app/load_models.py

19 lines
547 B
Python

import os
import sentence_transformers
from gliner import GLiNER
def load_transformers(models = os.getenv("MODELS", "sentence-transformers/all-MiniLM-L6-v2")):
transformers = {}
for model in models.split(','):
transformers[model] = sentence_transformers.SentenceTransformer(model)
return transformers
def load_ner_models(models = os.getenv("NER_MODELS", "urchade/gliner_large-v2.1")):
ner_models = {}
for model in models.split(','):
ner_models[model] = GLiNER.from_pretrained(model)
return ner_models