From 585a4d3e5ff8b77ee89c2ec2a9ff1e7cacd79319 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期二, 05 三月 2024 18:37:58 +0800
Subject: [PATCH] update docs
---
funasr/auto/auto_model.py | 9 ++++++---
1 files changed, 6 insertions(+), 3 deletions(-)
diff --git a/funasr/auto/auto_model.py b/funasr/auto/auto_model.py
index ec3c3f3..9ae9f18 100644
--- a/funasr/auto/auto_model.py
+++ b/funasr/auto/auto_model.py
@@ -143,7 +143,7 @@
def build_model(self, **kwargs):
assert "model" in kwargs
if "model_conf" not in kwargs:
- logging.info("download models from model hub: {}".format(kwargs.get("model_hub", "ms")))
+ logging.info("download models from model hub: {}".format(kwargs.get("hub", "ms")))
kwargs = download_model(**kwargs)
set_all_random_seed(kwargs.get("seed", 0))
@@ -180,7 +180,7 @@
# build model
model_class = tables.model_classes.get(kwargs["model"])
- model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)
+ model = model_class(**kwargs, **kwargs.get("model_conf", {}), vocab_size=vocab_size)
model.to(device)
# init_param
@@ -245,7 +245,10 @@
time1 = time.perf_counter()
with torch.no_grad():
- results, meta_data = model.inference(**batch, **kwargs)
+ res = model.inference(**batch, **kwargs)
+ if isinstance(res, (list, tuple)):
+ results = res[0]
+ meta_data = res[1] if len(res) > 1 else {}
time2 = time.perf_counter()
asr_result_list.extend(results)
--
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