Unify FFN and TrajMixer model architectures
This commit is contained in:
@@ -553,7 +553,9 @@ def main() -> None:
|
||||
device = resolve_eval_device(args.device)
|
||||
selected_token_mask = np.zeros(int(dataset.vocab_size), dtype=bool)
|
||||
selected_token_mask[np.asarray(scanned_disease_tokens, dtype=np.int64)] = True
|
||||
model = build_model_from_dataset(args, cfg_model, dataset).to(device)
|
||||
model = build_model_from_dataset(
|
||||
args, cfg_model, dataset, state_dict=state_dict
|
||||
).to(device)
|
||||
load_model_state(model, state_dict)
|
||||
model.eval()
|
||||
|
||||
|
||||
Reference in New Issue
Block a user