modelscope - ERROR - File am.mvn download incomplete, content_length: None but the file downloaded length: 11203, please download again

[hzc12321]

"/usr/local/envs/GPTSoVITS/bin/python" tools/asr/funasr_asr.py -i "/content/drive/MyDrive/part2/slicer_opt" -o "output/asr_opt" -s large -l zh -p float32
2025-05-07 14:55:14,857 - modelscope - INFO - PyTorch version 2.5.1+cu124 Found.
2025-05-07 14:55:14,858 - modelscope - INFO - Loading ast index from /root/.cache/modelscope/ast_indexer
2025-05-07 14:55:14,895 - modelscope - INFO - Loading done! Current index file version is 1.10.0, with md5 ad7f9eab60498374e7264e15d6903585 and a total number of 946 components indexed
2025-05-07 14:55:16,791 - modelscope - INFO - Use user-specified model revision: v2.0.4
Downloading: 10.9kB [00:00, 28.1MB/s]
2025-05-07 14:55:18,103 - modelscope - ERROR - File am.mvn download incomplete, content_length: None but the file downloaded length: 11203, please download again
Download: iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch failed!: File am.mvn download incomplete, content_length: None but the file downloaded length: 11203, please download again
Traceback (most recent call last):
File "/content/GPT-SoVITS/tools/asr/funasr_asr.py", line 113, in
execute_asr(
File "/content/GPT-SoVITS/tools/asr/funasr_asr.py", line 78, in execute_asr
model = create_model(language)
File "/content/GPT-SoVITS/tools/asr/funasr_asr.py", line 57, in create_model
model = AutoModel(
File "/usr/local/envs/GPTSoVITS/lib/python3.10/site-packages/funasr/auto/auto_model.py", line 117, in init
model, kwargs = self.build_model(**kwargs)
File "/usr/local/envs/GPTSoVITS/lib/python3.10/site-packages/funasr/auto/auto_model.py", line 213, in build_model
model = model_class(**model_conf, vocab_size=vocab_size)
TypeError: 'NoneType' object is not callable

环境：Google Colab，使用最新的Colab脚本
触发机制：点“Open Speech Recognition”
其他信息：有另外mount Google Drive, 之前切好的slicer_opt整个文件夹存在drive里面，所以input folder指向drive

看起来是下载的问题，请问要如何解决

安装的时候有遇到一些deprecation warning 还有一个error，但能正常跑起来就没太在意：
Building wheels for collected packages: pyopenjtalk, jieba_fast, jieba, distance, antlr4-python3-runtime, jaconv, openai-whisper, oss2, aliyun-python-sdk-core, crcmod
Building wheel for pyopenjtalk (pyproject.toml) ... done
Created wheel for pyopenjtalk: filename=pyopenjtalk-0.4.1-cp310-cp310-linux_x86_64.whl size=1289776 sha256=d16a9081fab9aa063dc74cb37875a4d218b2b8f576181dd369e4dd496786d761
Stored in directory: /root/.cache/pip/wheels/34/00/40/90257df3877dffde7407dced8e2ab05b8a9053c2e659070cb7
DEPRECATION: Building 'jieba_fast' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'jieba_fast'. Discussion can be found at pypa/pip#6334
Building wheel for jieba_fast (setup.py) ... done
Created wheel for jieba_fast: filename=jieba_fast-0.53-cp310-cp310-linux_x86_64.whl size=7628837 sha256=1e90f93435ed591b0704c6d0898c3241e91034ce6023ec977ea6fbb4084ce17d
Stored in directory: /root/.cache/pip/wheels/90/bc/2e/ec85cb24f946d722725b17fc7aa1afca0c2dcfd727d540a06a
DEPRECATION: Building 'jieba' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'jieba'. Discussion can be found at pypa/pip#6334
Building wheel for jieba (setup.py) ... done
Created wheel for jieba: filename=jieba-0.42.1-py3-none-any.whl size=19314509 sha256=95ac7c01e252f94da8f3ddb5e6cfeb294e6b66140604dc849612766d682f21e4
Stored in directory: /root/.cache/pip/wheels/c9/69/31/d56d90b22a1777b0b231e234b00302a55be255930f8bd92dcd
DEPRECATION: Building 'distance' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'distance'. Discussion can be found at pypa/pip#6334
Building wheel for distance (setup.py) ... done
Created wheel for distance: filename=distance-0.1.3-py3-none-any.whl size=16320 sha256=9cadee48b8d1c1e9666abd4eefc61614a117ea4ef707acb7df830215fe48b1e2
Stored in directory: /root/.cache/pip/wheels/e8/bb/de/f71bf63559ea9a921059a5405806f7ff6ed612a9231c4a9309
DEPRECATION: Building 'antlr4-python3-runtime' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'antlr4-python3-runtime'. Discussion can be found at pypa/pip#6334
Building wheel for antlr4-python3-runtime (setup.py) ... done
Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144590 sha256=f51a8752e9c745e76f647bb0615348c5ea165232b6486e66ba890e30e93e6322
Stored in directory: /root/.cache/pip/wheels/12/93/dd/1f6a127edc45659556564c5730f6d4e300888f4bca2d4c5a88
DEPRECATION: Building 'jaconv' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'jaconv'. Discussion can be found at pypa/pip#6334
Building wheel for jaconv (setup.py) ... done
Created wheel for jaconv: filename=jaconv-0.4.0-py3-none-any.whl size=18314 sha256=d2cfc3cecee086a3a82e37603a5738a9ca5490485e3a071c7a80e228b10f57da
Stored in directory: /root/.cache/pip/wheels/20/95/99/94e8d7545125181756857f6b1fc085ed4e0811ad9be7321af7
Building wheel for openai-whisper (pyproject.toml) ... done
Created wheel for openai-whisper: filename=openai_whisper-20240930-py3-none-any.whl size=803404 sha256=08c28ed576d3c4b3e665be9a0d64e4133abdbd4c89c99b5cd84b0cf3a45fdc73
Stored in directory: /root/.cache/pip/wheels/dd/4a/1f/d1c4bf3b9133c8168fe617ed979cab7b14fe381d059ffb9d83
DEPRECATION: Building 'oss2' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'oss2'. Discussion can be found at pypa/pip#6334
Building wheel for oss2 (setup.py) ... done
Created wheel for oss2: filename=oss2-2.19.1-py3-none-any.whl size=124036 sha256=4e8011fd5f619138679268ff48c3f2f9e06b037bc534fbfbe1c82d627e588aa5
Stored in directory: /root/.cache/pip/wheels/7d/1b/c6/dbf318597d350b50a94408a23a56b7349e706d61e0a06a6407
DEPRECATION: Building 'aliyun-python-sdk-core' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'aliyun-python-sdk-core'. Discussion can be found at pypa/pip#6334
Building wheel for aliyun-python-sdk-core (setup.py) ... done
Created wheel for aliyun-python-sdk-core: filename=aliyun_python_sdk_core-2.16.0-py3-none-any.whl size=535417 sha256=67a684a498cc895c7b75a4a91a92727dd2cf4279f77cef5164e26e445d0abbab
Stored in directory: /root/.cache/pip/wheels/35/11/5e/08e7cb4e03a3e83b4862edd12d1143c8d3936a3dd57a3ee46d
DEPRECATION: Building 'crcmod' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the --use-pep517 option, (possibly combined with --no-build-isolation), or adding a pyproject.toml file to the source tree of 'crcmod'. Discussion can be found at pypa/pip#6334
Building wheel for crcmod (setup.py) ... done
Created wheel for crcmod: filename=crcmod-1.7-cp310-cp310-linux_x86_64.whl size=23273 sha256=eed0ce492d2e10645f80f46c0b698a2da97f303fd0df961cf3bdfbdddf4b71df
Stored in directory: /root/.cache/pip/wheels/85/4c/07/72215c529bd59d67e3dac29711d7aba1b692f543c808ba9e86
Successfully built pyopenjtalk jieba_fast jieba distance antlr4-python3-runtime jaconv openai-whisper oss2 aliyun-python-sdk-core crcmod
Installing collected packages: wordsegment, sortedcontainers, sentencepiece, pytz, python-mecab-ko-dic, pydub, opencc, ko_pron, jieba_fast, jieba, jamo, jaconv, flatbuffers, fasttext-predict, distance, crcmod, antlr4-python3-runtime, addict, xxhash, werkzeug, websockets, uvloop, urllib3, tzdata, typeguard, tqdm, tomlkit, tomli, ToJyutping, threadpoolctl, tensorboard-data-server, sniffio, simplejson, shellingham, semantic-version, safetensors, ruff, regex, PyYAML, python-multipart, python_mecab_ko, python-dotenv, pypinyin, pyparsing, pydantic-core, pycryptodome, pycparser, pyarrow, protobuf, propcache, proces, Pillow, orjson, numpy, multidict, msgpack, more_itertools, mdurl, markdown, loguru, llvmlite, lightning-utilities, lazy-loader, kiwisolver, joblib, jmespath, jinja2, importlib-resources, idna, humanfriendly, httptools, hf-xet, h11, grpcio, gast, future, frozenlist, frozendict, fonttools, ffmpy, einops, editdistance, dnspython, dill, cycler, colorlog, click, charset-normalizer, chardet, certifi, av, audioread, attrs, async-timeout, annotated-types, aiohappyeyeballs, aiofiles, absl-py, yarl, yapf, uvicorn, torch-complex, tensorboardX, tensorboard, soxr, scipy, requests, pytorch-wpe, pyopenjtalk, pydantic, pandas, omegaconf, numba, nltk, multiprocess, markdown-it-py, kaldiio, inflect, httpcore, ffmpeg-python, email-validator, einx, ctranslate2, contourpy, coloredlogs, cn2an, cffi, budoux, anyio, aiosignal, watchfiles, tiktoken, starlette, soundfile, scikit-learn, robust-downloader, rich, pooch, onnxruntime-gpu, matplotlib, hydra-core, huggingface_hub, httpx, g2pk2, g2p_en, cryptography, aiohttp, x_transformers, typer, torchmetrics, tokenizers, rotary_embedding_torch, rich-toolkit, pynndescent, openai-whisper, librosa, gradio-client, fastapi, fast_langdetect, aliyun-python-sdk-core, accelerate, umap-learn, transformers, split-lang, pytorch-lightning, gradio, fastapi-cli, datasets, aliyun-python-sdk-kms, peft, oss2, modelscope, funasr
Attempting uninstall: jinja2
Found existing installation: Jinja2 3.1.4
Uninstalling Jinja2-3.1.4:
Successfully uninstalled Jinja2-3.1.4
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
faster-whisper 1.1.1 requires onnxruntime<2,>=1.14, which is not installed.
Successfully installed Pillow-10.4.0 PyYAML-6.0.2 ToJyutping-3.2.0 absl-py-2.2.2 accelerate-1.6.0 addict-2.4.0 aiofiles-23.2.1 aiohappyeyeballs-2.6.1 aiohttp-3.11.18 aiosignal-1.3.2 aliyun-python-sdk-core-2.16.0 aliyun-python-sdk-kms-2.16.5 annotated-types-0.7.0 antlr4-python3-runtime-4.9.3 anyio-4.9.0 async-timeout-5.0.1 attrs-25.3.0 audioread-3.0.1 av-14.3.0 budoux-0.7.0 certifi-2025.4.26 cffi-1.17.1 chardet-5.2.0 charset-normalizer-3.4.2 click-8.1.8 cn2an-0.5.23 coloredlogs-15.0.1 colorlog-6.9.0 contourpy-1.3.2 crcmod-1.7 cryptography-44.0.3 ctranslate2-4.6.0 cycler-0.12.1 datasets-3.5.1 dill-0.3.8 distance-0.1.3 dnspython-2.7.0 editdistance-0.8.1 einops-0.8.1 einx-0.3.0 email-validator-2.2.0 fast_langdetect-0.3.2 fastapi-0.115.12 fastapi-cli-0.0.7 fasttext-predict-0.9.2.4 ffmpeg-python-0.2.0 ffmpy-0.5.0 flatbuffers-25.2.10 fonttools-4.57.0 frozendict-2.4.6 frozenlist-1.6.0 funasr-1.0.27 future-1.0.0 g2p_en-2.1.0 g2pk2-0.0.3 gast-0.6.0 gradio-4.44.1 gradio-client-1.3.0 grpcio-1.71.0 h11-0.16.0 hf-xet-1.1.0 httpcore-1.0.9 httptools-0.6.4 httpx-0.28.1 huggingface_hub-0.31.0 humanfriendly-10.0 hydra-core-1.3.2 idna-3.10 importlib-resources-6.5.2 inflect-7.5.0 jaconv-0.4.0 jamo-0.4.1 jieba-0.42.1 jieba_fast-0.53 jinja2-3.1.6 jmespath-0.10.0 joblib-1.5.0 kaldiio-2.18.1 kiwisolver-1.4.8 ko_pron-1.3 lazy-loader-0.4 librosa-0.10.2 lightning-utilities-0.14.3 llvmlite-0.44.0 loguru-0.7.3 markdown-3.8 markdown-it-py-3.0.0 matplotlib-3.10.1 mdurl-0.1.2 modelscope-1.10.0 more_itertools-10.7.0 msgpack-1.1.0 multidict-6.4.3 multiprocess-0.70.16 nltk-3.9.1 numba-0.61.2 numpy-1.26.4 omegaconf-2.3.0 onnxruntime-gpu-1.21.1 openai-whisper-20240930 opencc-1.1.1 orjson-3.10.18 oss2-2.19.1 pandas-2.2.3 peft-0.15.2 pooch-1.8.2 proces-0.1.7 propcache-0.3.1 protobuf-6.30.2 pyarrow-20.0.0 pycparser-2.22 pycryptodome-3.22.0 pydantic-2.10.6 pydantic-core-2.27.2 pydub-0.25.1 pynndescent-0.5.13 pyopenjtalk-0.4.1 pyparsing-3.2.3 pypinyin-0.54.0 python-dotenv-1.1.0 python-mecab-ko-dic-2.1.1.post2 python-multipart-0.0.20 python_mecab_ko-1.3.7 pytorch-lightning-2.5.1.post0 pytorch-wpe-0.0.1 pytz-2025.2 regex-2024.11.6 requests-2.32.3 rich-14.0.0 rich-toolkit-0.14.5 robust-downloader-0.0.2 rotary_embedding_torch-0.8.6 ruff-0.11.8 safetensors-0.5.3 scikit-learn-1.6.1 scipy-1.15.2 semantic-version-2.10.0 sentencepiece-0.2.0 shellingham-1.5.4 simplejson-3.20.1 sniffio-1.3.1 sortedcontainers-2.4.0 soundfile-0.13.1 soxr-0.5.0.post1 split-lang-2.1.0 starlette-0.46.2 tensorboard-2.19.0 tensorboard-data-server-0.7.2 tensorboardX-2.6.2.2 threadpoolctl-3.6.0 tiktoken-0.9.0 tokenizers-0.21.1 tomli-2.2.1 tomlkit-0.12.0 torch-complex-0.4.4 torchmetrics-1.5.0 tqdm-4.67.1 transformers-4.51.3 typeguard-4.4.2 typer-0.15.3 tzdata-2025.2 umap-learn-0.5.7 urllib3-2.4.0 uvicorn-0.34.2 uvloop-0.21.0 watchfiles-1.0.5 websockets-12.0 werkzeug-3.1.3 wordsegment-1.3.1 x_transformers-2.3.1 xxhash-3.5.0 yapf-0.43.0 yarl-1.20.0
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /root/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
[nltk_data] Downloading package averaged_perceptron_tagger_eng to
[nltk_data] /root/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger_eng.zip.
[nltk_data] Downloading package cmudict to /root/nltk_data...
[nltk_data] Unzipping corpora/cmudict.zip.
Installation completed successfully!