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| # coding=utf-8 | |
| # Copyright 2020 Mesh TensorFlow authors, T5 Authors and HuggingFace Inc. team. | |
| # | |
| # 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. | |
| """ Tensorflow mT5 model. """ | |
| from ...utils import logging | |
| from ..t5.modeling_tf_t5 import TFT5EncoderModel, TFT5ForConditionalGeneration, TFT5Model | |
| from .configuration_mt5 import MT5Config | |
| logger = logging.get_logger(__name__) | |
| _CONFIG_FOR_DOC = "T5Config" | |
| _TOKENIZER_FOR_DOC = "T5Tokenizer" | |
| class TFMT5Model(TFT5Model): | |
| r""" | |
| This class overrides :class:`~transformers.TFT5Model`. Please check the superclass for the appropriate | |
| documentation alongside usage examples. | |
| Examples:: | |
| >>> from transformers import TFMT5Model, T5Tokenizer | |
| >>> model = TFMT5Model.from_pretrained("google/mt5-small") | |
| >>> tokenizer = T5Tokenizer.from_pretrained("google/mt5-small") | |
| >>> article = "UN Offizier sagt, dass weiter verhandelt werden muss in Syrien." | |
| >>> summary = "Weiter Verhandlung in Syrien." | |
| >>> inputs = tokenizer(article, return_tensors="tf") | |
| >>> with tokenizer.as_target_tokenizer(): | |
| ... labels = tokenizer(summary, return_tensors="tf") | |
| >>> outputs = model(input_ids=inputs["input_ids"], decoder_input_ids=labels["input_ids"]) | |
| >>> hidden_states = outputs.last_hidden_state | |
| """ | |
| model_type = "mt5" | |
| config_class = MT5Config | |
| class TFMT5ForConditionalGeneration(TFT5ForConditionalGeneration): | |
| r""" | |
| This class overrides :class:`~transformers.TFT5ForConditionalGeneration`. Please check the superclass for the | |
| appropriate documentation alongside usage examples. | |
| Examples:: | |
| >>> from transformers import TFMT5ForConditionalGeneration, T5Tokenizer | |
| >>> model = TFMT5ForConditionalGeneration.from_pretrained("google/mt5-small") | |
| >>> tokenizer = T5Tokenizer.from_pretrained("google/mt5-small") | |
| >>> article = "UN Offizier sagt, dass weiter verhandelt werden muss in Syrien." | |
| >>> summary = "Weiter Verhandlung in Syrien." | |
| >>> inputs = tokenizer(article, return_tensors="tf") | |
| >>> with tokenizer.as_target_tokenizer(): | |
| ... labels = tokenizer(summary, return_tensors="tf") | |
| >>> outputs = model(**inputs,labels=labels["input_ids"]) | |
| >>> loss = outputs.loss | |
| """ | |
| model_type = "mt5" | |
| config_class = MT5Config | |
| class TFMT5EncoderModel(TFT5EncoderModel): | |
| r""" | |
| This class overrides :class:`~transformers.TFT5EncoderModel`. Please check the superclass for the appropriate | |
| documentation alongside usage examples. | |
| Examples:: | |
| >>> from transformers import TFMT5EncoderModel, T5Tokenizer | |
| >>> model = TFMT5EncoderModel.from_pretrained("google/mt5-small") | |
| >>> tokenizer = T5Tokenizer.from_pretrained("google/mt5-small") | |
| >>> article = "UN Offizier sagt, dass weiter verhandelt werden muss in Syrien." | |
| >>> input_ids = tokenizer(article, return_tensors="tf").input_ids | |
| >>> outputs = model(input_ids) | |
| >>> hidden_state = outputs.last_hidden_state | |
| """ | |
| model_type = "mt5" | |
| config_class = MT5Config | |