Release Turkish Laya-TR non-autoregressive decision model with native AutoModel support
6b96146 verified | from transformers import PretrainedConfig | |
| class LayaConfig(PretrainedConfig): | |
| model_type = "laya" | |
| def __init__( | |
| self, | |
| vocab_size: int = 256000, | |
| hidden_size: int = 768, | |
| intermediate_size: int = 1152, | |
| num_hidden_layers: int = 22, | |
| num_attention_heads: int = 12, | |
| hidden_activation: str = "gelu", | |
| norm_eps: float = 1e-5, | |
| norm_bias: bool = False, | |
| attention_bias: bool = False, | |
| mlp_bias: bool = False, | |
| rope_theta: float = 160000.0, | |
| local_attention: int = 128, | |
| global_attn_every_n_layers: int = 3, | |
| max_position_embeddings: int = 8192, | |
| pad_token_id: int = 0, | |
| cls_token_id: int = 1, | |
| sep_token_id: int = 1, | |
| bos_token_id: int = 2, | |
| mask_token_id: int = 4, | |
| head_layers: int = 2, | |
| head_ff_dim: int = 3072, | |
| n_act: int = 2, | |
| num_question_types: int = 3, | |
| max_len: int = 1024, | |
| head_max_len: int = 256, | |
| **kwargs | |
| ): | |
| super().__init__( | |
| pad_token_id=pad_token_id, | |
| bos_token_id=bos_token_id, | |
| sep_token_id=sep_token_id, | |
| **kwargs | |
| ) | |
| self.vocab_size = vocab_size | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_hidden_layers = num_hidden_layers | |
| self.num_attention_heads = num_attention_heads | |
| self.hidden_activation = hidden_activation | |
| self.norm_eps = norm_eps | |
| self.norm_bias = norm_bias | |
| self.attention_bias = attention_bias | |
| self.mlp_bias = mlp_bias | |
| self.rope_theta = rope_theta | |
| self.local_attention = local_attention | |
| self.global_attn_every_n_layers = global_attn_every_n_layers | |
| self.max_position_embeddings = max_position_embeddings | |
| self.cls_token_id = cls_token_id | |
| self.mask_token_id = mask_token_id | |
| self.head_layers = head_layers | |
| self.head_ff_dim = head_ff_dim | |
| self.n_act = n_act | |
| self.num_question_types = num_question_types | |
| self.max_len = max_len | |
| self.head_max_len = head_max_len | |