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import json
from .factory import create_model_from_config
from .utils import load_ckpt_state_dict
from huggingface_hub import hf_hub_download
def get_pretrained_model(name: str):
model_config_path = hf_hub_download(name, filename="model_config.json", repo_type='model')
with open(model_config_path) as f:
model_config = json.load(f)
model = create_model_from_config(model_config)
# Try to download the model.safetensors file first, if it doesn't exist, download the model.ckpt file
try:
model_ckpt_path = hf_hub_download(name, filename="model.safetensors", repo_type='model')
except Exception as e:
model_ckpt_path = hf_hub_download(name, filename="model.ckpt", repo_type='model')
model.load_state_dict(load_ckpt_state_dict(model_ckpt_path))
return model, model_config