pretrained-models

Related to #5142, AlbertTokenizer (which uses SentencePiece) doesn't decode special tokens (like [CLS], [MASK]) properly. This issue was discovered when adding the Nystromformer model (#14659), which uses this tokenizer.

To reproduce (Transformers v4.15 or below):

!pip install -q transformers sentencepiece

from transformers import AlbertTokenizer

tokenizer = AlbertTokenizer.from

🐛 Bug

File "/home/ubuntu/vqa/GMN/mmf/mmf/datasets/builders/visual_genome/dataset.py", line 44, in init
scene_graph_file = self._get_absolute_path(scene_graph_file)
AttributeError: 'VisualGenomeDataset' object has no attribute '_get_absolute_path'

Command that i run in shell

CUDA_VISIBLE_DEVICES="0" mmf_run config=projects/gmn/configs/visual_genome/defaults.yaml model=gm

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• 复现信息：如为报错，请给出复现环境、复现步骤
  paddle版本2.0.8 paddlenlp版本2.1.0
  建议，能否在paddlenlp文档中，整理列出各个模型的tokenizer是基于什么类别的based，如bert tokenizer是word piece的，xlnet tokenizer是sentence piece的，以及对应的输入输出样例

Hi
when I do classification with the pretrained vggface2 model, how do I match a probability to a name? do you have a list of labels for the trained model?

Thanks

The Mock object shouldn't be there..

RTD

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