# -*- coding: utf-8 -*-
# Copyright (C) 2020 Unbabel
#
# 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.
r"""
MiniLM Encoder
==============
Pretrained MiniLM encoder from Microsoft. This encoder uses a BERT
architecture with an XLMR tokenizer.
"""
from comet.encoders.bert import BERTEncoder
from transformers import BertModel, XLMRobertaTokenizer
[docs]class MiniLMEncoder(BERTEncoder):
"""MiniLMEncoder encoder.
:param pretrained_model: Pretrained model from hugging face.
"""
def __init__(self, pretrained_model: str) -> None:
super().__init__()
self.tokenizer = XLMRobertaTokenizer.from_pretrained(
pretrained_model, use_fast=True
)
self.model = BertModel.from_pretrained(pretrained_model)
self.model.encoder.output_hidden_states = True