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import transformers
import model
class AbcTransformerConfig(transformers.PretrainedConfig):
model_type = 'abc-transformer'
def __init__(
self,
vocab_size=113,
n_embd=384,
block_size=128,
n_heads=6,
n_layers=6,
dropout=0.2,
device=None,
**kwargs
):
self.vocab_size = vocab_size
self.n_embd = n_embd
self.block_size = block_size
self.n_heads = n_heads
self.n_layers = n_layers
self.dropout = dropout
self.device = device
super().__init__(**kwargs)
class AbcTransformer(transformers.PreTrainedModel):
config_class = AbcTransformerConfig
def __init__(self, config):
super().__init__(config)
self.model = model.AbcTransformer(
vocab_size=config.vocab_size,
n_embd=config.n_embd,
block_size=config.block_size,
n_heads=config.n_heads,
n_layers=config.n_layers,
dropout=config.dropout,
device=config.device,
)
def forward(self, tensor, labels):
return self.model(tensor, labels)
transformers.AutoConfig.register('abc-transformer', AbcTransformerConfig)
AbcTransformer.register_for_auto_class("AutoModelForCausalLM")
transformers.AutoModel.register(AbcTransformerConfig, AbcTransformer)
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