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#!/usr/bin/env python
# coding: utf-8
# Copyright 2021, IBM Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Python helper function to save HF model locally.
"""
__author__ = "Vagner Santana, Melina Alberio, Cassia Sanctos and Tiago Machado"
__copyright__ = "IBM Corporation 2024"
__credits__ = ["Vagner Santana, Melina Alberio, Cassia Sanctos, Tiago Machado"]
__license__ = "Apache 2.0"
__version__ = "0.0.1"
import os
from sentence_transformers import SentenceTransformer
def save_model():
"""
Function that saves an HF model locally.
Args:
None.
Returns:
The model id and local path.
Raises:
Nothing.
"""
# sentence transformer model
model_id = "sentence-transformers/all-MiniLM-L6-v2"
# download pretrained model
model = SentenceTransformer(model_id)
model_path = "./models/all-MiniLM-L6-v2/"
# save to local directory
try:
model.save(model_path)
saved_message = f"model {model_id} saved to {model_path}"
print(saved_message)
except:
('There was an error when saving the model')
return model_id, model_path
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