---
name: embedding_load_model
kind: function
lang: py
domain: infra
version: "1.0.0"
purity: impure
signature: "def embedding_load_model(path: str) -> SentenceTransformer"
description: "Carga modelo de embeddings desde path local. Retorna instancia lista para encode."
tags: [embedding, model, load, python]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: "error_go_core"
imports: [sentence_transformers]
params:
  - name: path
    desc: "ruta al directorio donde está guardado el modelo (ej: .local/models/e5-small)"
output: "SentenceTransformer: instancia lista para embedding_encode"
tested: false
tests: []
test_file_path: ""
file_path: "python/functions/embedding/model.py"
---

## Ejemplo

```python
model = embedding_load_model(".local/models/e5-small")
# model listo para usar con embedding_encode
```

## Notas

Carga desde path local (~1.8s) es mas rapida que desde HF cache (~4.1s).
El modelo retornado es compatible con embedding_encode.
