Comments (3)
It means the beginning of a word.
from keras-xlnet.
Since we don't need spaces between words, you'll see it at the beginning of a sentence.
from keras-xlnet.
thanks, that is to say it's similar as 101 in bert.
from keras-xlnet.
Related Issues (20)
- TypeError: ('Keyword argument not understood:', 'dropout_rate') HOT 2
- Tokenizer issue HOT 2
- Colab TPU Support HOT 1
- Does it compatible with Chinese pre-trained model? HOT 5
- Example on long document classification HOT 1
- How to load the trained model? It doesn't work use keras.models.load_model. HOT 1
- tokenize encode HOT 1
- 对tensorflow2.0的兼容问题 HOT 3
- Similarity with Original XLNet HOT 3
- The problem of "ValueError: Unknown layer: EmbeddingRet" HOT 1
- 训练的时候没问题,预测的时候报如下错误,求解答 HOT 1
- is rel_shift change the shape of input? HOT 2
- 代码一毛一样为什么会出现 ValueError: Input 0 is incompatible with layer Normal: expected ndim=3, found ndim=2 这样的错误呢? HOT 4
- how to deal with the data logger then sequence length in fine-tune? HOT 1
- Why Tokenizer can't work when I pass the relative path? HOT 1
- AttributeError: 'Node' object has no attribute 'output_masks'
- InvalidArgumentError: Input to reshape is a tensor with 983040 values, but the requested shape has 4718592 HOT 4
- Memory length in model initialization and Fine-tuning HOT 2
- `NER` fine tuning HOT 1
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