File size: 1,500 Bytes
ea04124 19bab4f ea04124 a47f222 ea04124 73eb084 19bab4f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | # Copyright 2020-2026 The HuggingFace Team. All rights reserved.
#
# 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.
import torch.nn as nn
from transformers import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel
from .configuration_remote import RemoteConfig
class RemoteModel(LlamaModel):
config_class = RemoteConfig
class RemoteForCausalLM(LlamaForCausalLM):
config_class = RemoteConfig
class RemoteForSequenceClassification(LlamaForSequenceClassification):
config_class = RemoteConfig
def __init__(self, config):
# The parent's MRO calls `AutoModel.from_config(config)`, which would re-trigger the
# trust_remote_code prompt for `RemoteConfig`. Wire `RemoteModel` in directly instead.
LlamaPreTrainedModel.__init__(self, config)
self.num_labels = config.num_labels
self.model = RemoteModel(config)
self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False)
self.post_init()
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