Comments (3)
I try to initialize the vit_base_patch16_224 model in my jupyter notebook. The timm library can't find the registered model which is in file 'vision_transformer.py'. You can try something like this:
`from vision_transformer import vit_base_patch16_224
model = create_model(
args.model,
pretrained=args.pretrained,
num_classes=args.nb_classes,
drop_rate=args.drop,
drop_path_rate=args.drop_path,
drop_block_rate=None,
prompt_length=args.length,
embedding_key=args.embedding_key,
prompt_init=args.prompt_key_init,
prompt_pool=args.prompt_pool,
prompt_key=args.prompt_key,
pool_size=args.size,
top_k=args.top_k,
batchwise_prompt=args.batchwise_prompt,
prompt_key_init=args.prompt_key_init,
head_type=args.head_type,
use_prompt_mask=args.use_prompt_mask,
)`
from l2p-pytorch.
I try to initialize the vit_base_patch16_224 model in my jupyter notebook. The timm library can't find the registered model which is in file 'vision_transformer.py'. You can try something like this:
`from vision_transformer import vit_base_patch16_224
model = create_model( args.model, pretrained=args.pretrained, num_classes=args.nb_classes, drop_rate=args.drop, drop_path_rate=args.drop_path, drop_block_rate=None, prompt_length=args.length, embedding_key=args.embedding_key, prompt_init=args.prompt_key_init, prompt_pool=args.prompt_pool, prompt_key=args.prompt_key, pool_size=args.size, top_k=args.top_k, batchwise_prompt=args.batchwise_prompt, prompt_key_init=args.prompt_key_init, head_type=args.head_type, use_prompt_mask=args.use_prompt_mask, )`
Thank you
from l2p-pytorch.
The final code is as follows:
from vision_transformer import vit_base_patch16_224
print(f"Creating original model: {args.model}")
original_model = create_model(
args.model,
pretrained=args.pretrained,
num_classes=args.nb_classes,
drop_rate=args.drop,
drop_path_rate=args.drop_path,
drop_block_rate=None,
)
print(f"Creating model: {args.model}")
model = create_model(
args.model,
pretrained=args.pretrained,
num_classes=args.nb_classes,
drop_rate=args.drop,
drop_path_rate=args.drop_path,
drop_block_rate=None,
prompt_length=args.length,
embedding_key=args.embedding_key,
prompt_init=args.prompt_key_init,
prompt_pool=args.prompt_pool,
prompt_key=args.prompt_key,
pool_size=args.size,
top_k=args.top_k,
batchwise_prompt=args.batchwise_prompt,
prompt_key_init=args.prompt_key_init,
head_type=args.head_type,
use_prompt_mask=args.use_prompt_mask,
)
original_model.to(device)
from l2p-pytorch.
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from l2p-pytorch.