| # Copyright 2019 Google LLC | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the \"License\"); | |
| # you may not use this file except in compliance with the License.\n", | |
| # 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. | |
| from transformers import AutoModelForSequenceClassification | |
| from trainer import metadata | |
| def create(num_labels): | |
| """create the model by loading a pretrained model or define your | |
| own | |
| Args: | |
| num_labels: number of target labels | |
| """ | |
| # Create the model, loss function, and optimizer | |
| model = AutoModelForSequenceClassification.from_pretrained( | |
| metadata.PRETRAINED_MODEL_NAME, | |
| num_labels=num_labels | |
| ) | |
| return model | |