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081b4cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | """Configuration for the Transformers-compatible pinyin-code causal LM."""
from __future__ import annotations
from transformers import PretrainedConfig
class PinyinCodeConfig(PretrainedConfig):
"""Configuration for the compact GPT-style pinyin-code decoder."""
model_type = "pinyin_code"
def __init__(
self,
vocab_size: int = 8000,
block_size: int = 128,
n_layer: int = 6,
n_head: int = 8,
n_embd: int = 256,
dropout: float = 0.1,
bos_token_id: int | None = None,
eos_token_id: int | None = None,
pad_token_id: int | None = None,
unk_token_id: int | None = None,
**kwargs,
) -> None:
super().__init__(
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
pad_token_id=pad_token_id,
unk_token_id=unk_token_id,
**kwargs,
)
self.vocab_size = vocab_size
self.block_size = block_size
self.n_layer = n_layer
self.n_head = n_head
self.n_embd = n_embd
self.dropout = dropout
self.num_hidden_layers = n_layer
self.num_attention_heads = n_head
self.hidden_size = n_embd
self.max_position_embeddings = block_size
self.is_decoder = True
self.is_encoder_decoder = False
self.use_cache = False
|