Delete model.py

model.py

@@ -1,40 +0,0 @@
-from transformers import PretrainedConfig, PreTrainedModel
-
-class DiffusionConfig(PretrainedConfig):
-    """Configuration class for Diffusion-LLM model."""
-    model_type = "diffusionLM"
-    
-    def __init__(
-        self,
-        vocab_size: int = 50257,
-        hidden_size: int = 768,
-        num_hidden_layers: int = 12,
-        num_attention_heads: int = 12,
-        intermediate_size: int = 3072,
-        hidden_dropout_prob: float = 0.1,
-        attention_probs_dropout_prob: float = 0.1,
-        max_position_embeddings: int = 1024,
-        initializer_range: float = 0.02,
-        layer_norm_eps: float = 1e-12,
-        pad_token_id: int = 0,
-        mask_token_id: int = 50256,
-        eos_token_id: int = 50256,
-        num_timesteps: int = 100,
-        time_embed_dim: int = 128,
-        **kwargs
-    ):
-        super().__init__(pad_token_id=pad_token_id, **kwargs)
-        self.vocab_size = vocab_size
-        self.hidden_size = hidden_size
-        self.num_hidden_layers = num_hidden_layers
-        self.num_attention_heads = num_attention_heads 
-        self.intermediate_size = intermediate_size
-        self.hidden_dropout_prob = hidden_dropout_prob
-        self.attention_probs_dropout_prob = attention_probs_dropout_prob
-        self.max_position_embeddings = max_position_embeddings
-        self.initializer_range = initializer_range
-        self.layer_norm_eps = layer_norm_eps
-        self.mask_token_id = mask_token_id
-        self.eos_token_id = eos_token_id
-        self.num_timesteps = num_timesteps
-        self.time_embed_dim = time_embed_dim