File size: 1,385 Bytes
82c0c38 | 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 | from transformers import PreTrainedModel
from transformers import AutoModelForMaskedLM, AutoTokenizer
from pytorch_lightning.loggers import WandbLogger
from src.regression.PL import FullModelPL, EncoderPL, DecoderPL
from src.regression.HF.configs import FullModelConfigHF
from config import DEVICE
class FullModelHF(PreTrainedModel):
config_class = FullModelConfigHF
def __init__(self, config):
super().__init__(config)
self.tokenizer = AutoTokenizer.from_pretrained(config.tokenizer_ckpt)
mlm_bert = AutoModelForMaskedLM.from_pretrained(config.bert_ckpt)
self.bert = mlm_bert.distilbert
encoder = EncoderPL(tokenizer=self.tokenizer, bert=self.bert).to(DEVICE)
wandb_logger = WandbLogger(
project="transformers",
entity="sanjin_juric_fot",
# log_model=True,
# reinit=True,
)
artifact = wandb_logger.use_artifact(config.decoder_ckpt)
artifact_dir = artifact.download()
decoder = DecoderPL.load_from_checkpoint(artifact_dir + "/" + "model.ckpt").to(DEVICE)
self.model = FullModelPL(
encoder=encoder,
decoder=decoder,
layer_norm=config.layer_norm,
nontext_features=config.nontext_features,
).to(DEVICE)
def forward(self, input):
return self.model._get_loss(input)
|