python/FunASR-XL.git

FUNASR训练

parent: 08a318b7 | 补丁 | 提交 | show whitespace

zhifu gao

2024-03-28 8071728f171afaa6574981882122cd58ec54fa6d

Dev gzf new (#1559)

* train

* train

* train

* train

* train

* train

* train

* train

* train

* train

* train

* train

* train

* train

* train

5个文件已修改

	examples/aishell/branchformer/run.sh	2 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史
	examples/aishell/conformer/run.sh	2 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史
	examples/aishell/e_branchformer/run.sh	2 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史
	examples/aishell/paraformer/run.sh	2 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史
	examples/aishell/transformer/run.sh	2 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史

 examples/aishell/branchformer/run.sh

@@ -15,7 +15,7 @@
nj=32

inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg5"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32


 examples/aishell/conformer/run.sh

@@ -15,7 +15,7 @@
nj=32

inference_device="cuda" #"cpu", "cuda:0", "cuda:1"
inference_checkpoint="model.pt.avg5"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=1


 examples/aishell/e_branchformer/run.sh

@@ -15,7 +15,7 @@
nj=32

inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg5"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32


 examples/aishell/paraformer/run.sh

@@ -15,7 +15,7 @@
nj=32

inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg5"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32


 examples/aishell/transformer/run.sh

@@ -15,7 +15,7 @@
nj=32

inference_device="cuda" #"cpu"
inference_checkpoint="model.pt.avg5"
inference_checkpoint="model.pt.avg10"
inference_scp="wav.scp"
inference_batch_size=32

			@@ -15,7 +15,7 @@
			nj=32

			inference_device="cuda" #"cpu"
			inference_checkpoint="model.pt.avg5"
			inference_checkpoint="model.pt.avg10"
			inference_scp="wav.scp"
			inference_batch_size=32

			@@ -15,7 +15,7 @@
			nj=32

			inference_device="cuda" #"cpu", "cuda:0", "cuda:1"
			inference_checkpoint="model.pt.avg5"
			inference_checkpoint="model.pt.avg10"
			inference_scp="wav.scp"
			inference_batch_size=1