speech_recognition/FunASR
1
0
Fork 0
mirror of https://github.com/modelscope/FunASR synced 2025-09-15 14:48:36 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

update demo

Browse Source
This commit is contained in:
维石 2024-06-03 15:27:16 +08:00
parent 1c96d9aec2
commit c5339e8302
4 changed files with 9 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
runtime/python/libtorch/demo_contextual_paraformer.py
View File

@ -1,12 +1,13 @@
import torch
from pathlib import Path
from funasr_torch import Paraformer
from funasr_torch.paraformer_bin import ContextualParaformer
model_dir = "damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404"
model = Paraformer(model_dir, batch_size=1) # cpu
# model = Paraformer(model_dir, batch_size=1, device_id=0) # gpu
model_dir = "iic/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404"
device_id = 0 if torch.cuda.is_available() else -1
model = ContextualParaformer(model_dir, batch_size=1, device_id=device_id) # gpu
wav_path = "{}/.cache/modelscope/hub/{}/example/asr_example.wav".format(Path.home(), model_dir)
hotwords = "你的热词 魔搭"
hotwords = "你的热词 魔搭 达摩苑"
result = model(wav_path, hotwords)
print(result)

2
runtime/python/libtorch/demo_paraformer.py
View File

@ -1,5 +1,5 @@
from pathlib import Path
from funasr_torch import Paraformer
from funasr_torch.paraformer_bin import Paraformer
model_dir = "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1) # cpu

2
runtime/python/libtorch/funasr_torch/paraformer_bin.py
View File

@ -50,7 +50,7 @@ class Paraformer:
if quantize:
model_file = os.path.join(model_dir, "model_quant.torchscripts")
if not os.path.exists(model_file):
print(".onnx is not exist, begin to export onnx")
print(".torchscripts does not exist, begin to export torchscripts")
try:
from funasr import AutoModel
except:

2
runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
View File

@ -62,7 +62,7 @@ class Paraformer:
if quantize:
model_file = os.path.join(model_dir, "model_quant.onnx")
if not os.path.exists(model_file):
print(".onnx is not exist, begin to export onnx")
print(".onnx does not exist, begin to export onnx")
try:
from funasr import AutoModel
except: