tuna2134/sbv2-v2
1
0
Fork 0
Code Issues Pull Requests 1 Actions Packages Projects Releases Wiki Activity

fix

Browse Source
This commit is contained in:
Stardust·减
2023-09-05 19:41:41 +08:00
committed by GitHub
parent 1f080322dc
commit 13c9a12573
1 changed files with 5 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
text/chinese_bert.py
View File

@@ -4,9 +4,11 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("./bert/chinese-roberta-wwm-ext-large") tokenizer = AutoTokenizer.from_pretrained("./bert/chinese-roberta-wwm-ext-large")
def get_bert_feature(text, word2ph, device): def get_bert_feature(text, word2ph, device=None):
if sys.platform == "darwin" and torch.backends.mps.is_available() and device == "cpu" if sys.platform == "darwin" and torch.backends.mps.is_available() and device == "cpu":
device == "mps" device = "mps"
if not device:
device = "cuda"
model = AutoModelForMaskedLM.from_pretrained("./bert/chinese-roberta-wwm-ext-large").to(device) model = AutoModelForMaskedLM.from_pretrained("./bert/chinese-roberta-wwm-ext-large").to(device)
with torch.no_grad(): with torch.no_grad():
inputs = tokenizer(text, return_tensors='pt') inputs = tokenizer(text, return_tensors='pt')