RoBERTaTensorizer.ConfigΒΆ
Component: RoBERTaTensorizer
-
class
RoBERTaTensorizer.
Config
[source] Bases:
BERTTensorizerBase.Config
All Attributes (including base classes)
- is_input: bool =
True
- columns: list[str] =
['text']
- tokenizer: Tokenizer.Config = GPT2BPETokenizer.Config()
- base_tokenizer: Optional[Tokenizer.Config] =
None
- vocab_file: str =
'manifold://pytext_training/tree/static/vocabs/bpe/gpt2/dict.txt'
- max_seq_len: int =
256
- Subclasses
RoBERTaTokenLevelTensorizer.Config
SquadForRoBERTaTensorizer.Config
Default JSON
{
"is_input": true,
"columns": [
"text"
],
"tokenizer": {
"GPT2BPETokenizer": {
"bpe_encoder_path": "manifold://pytext_training/tree/static/vocabs/bpe/gpt2/encoder.json",
"bpe_vocab_path": "manifold://pytext_training/tree/static/vocabs/bpe/gpt2/vocab.bpe"
}
},
"base_tokenizer": null,
"vocab_file": "manifold://pytext_training/tree/static/vocabs/bpe/gpt2/dict.txt",
"max_seq_len": 256
}