[Bug]: No module named 'transformers.convert_slow_tokenizer' (0.16.0-beta4) #19162

redlegoman · 2025-07-16T07:03:10Z

redlegoman
Jul 16, 2025

Checklist

I have updated to the latest available Frigate version.
I have cleared the cache of my browser.
I have tried a different browser to see if it is related to my browser.
I have tried reproducing the issue in incognito mode to rule out problems with any third party extensions or plugins I have installed.

Describe the problem you are having

Container fails to start. Error
2025-07-16 07:54:38.211272564 from transformers import AutoFeatureExtractor, AutoTokenizer 2025-07-16 07:54:38.211278601 File "<frozen importlib._bootstrap>", line 1231, in _handle_fromlist 2025-07-16 07:54:38.211280083 File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1754, in __getattr__ 2025-07-16 07:54:38.211557454 module = self._get_module(self._class_to_module[name]) 2025-07-16 07:54:38.211617009 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 2025-07-16 07:54:38.211624880 File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1766, in _get_module 2025-07-16 07:54:38.211896825 raise RuntimeError( 2025-07-16 07:54:38.211906121 RuntimeError: Failed to import transformers.models.auto because of the following error (look up to see its traceback): 2025-07-16 07:54:38.211907232 No module named 'transformers.convert_slow_tokenizer' 2025-07-16 07:54:38.695090867 [INFO] Service Frigate exited with code 1 (by signal 0)

Steps to reproduce

use ghcr.io/blakeblackshear/frigate:0.16.0-beta4 image, start container

Version

0.16.0-beta4

In which browser(s) are you experiencing the issue with?

No response

Frigate config file

#AIzaSyC0_UpFXQWaCCOGnEgzV3LKdataGwlTAAM
#Time-lapse export
#Time lapse exporting is available only via the HTTP API.
#
#When exporting a time-lapse the default speed-up is 25x with 30 FPS. This means that every 25 seconds of (real-time) recording is condensed into 1 second of time-lapse video (always without audio) with a smoothness of 30 FPS.
#
#To configure the speed-up factor, the frame rate and further custom settings, the configuration parameter timelapse_args can be used. The below configuration example would change the time-lapse speed to 60x (for fitting 1 hour of recording into 1 minute of time-lapse) with 25 FPS:
record:
  sync_recordings: true
  expire_interval: 10
  enabled: true
  export:
    timelapse_args: -vf setpts=PTS/60 -r 25

genai:
  enabled: false
  provider: gemini
  api_key: X
  model: gemini-1.5-flash

ffmpeg:
  #hwaccel_args: preset-rpi-64-h264
  input_args: preset-rtsp-restream
  output_args:
    record: preset-record-generic-audio-aac

mqtt:
  host: hass
  user: mqttuser
  X: X
  client_id: frigatefivepi
  topic_prefix: frigate

detectors:
  coral:
    type: edgetpu
    device: usb

motion:
  threshold: 50

go2rtc:
  streams:
    doorbell:
      - rtsp://localhost:8554/doorbell_main
      - ffmpeg:http://reolinkdoorbell.domain.local/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=bi2&X=X#video=copy#audio=copy#audio=opus
    doorbell_balanced:
      - http://reolinkdoorbell.domain.local/flv?app=bcs&stream=channel0_ext.bcs&user=bi2&X=X
    doorbell_main:
      - rtsp://bi2:X@reolinkdoorbell.domain.local:554/h264Preview_01_main
      #- rtsp://bi2:X@reolinkdoorbell.domain.local:554/h265Preview_01_main
    doorbell_sub:
      - rtsp://bi2:X@reolinkdoorbell.domain.local:554/h264Preview_01_sub
      #- rtsp://bi2:X@reolinkdoorbell.domain.local:554/h265Preview_01_sub

    fg_front:
      - rtsp://localhost:8554/fg_front_main
    fg_front_main:
      #- rtsp://bi2:X@reolinkptz2.domain.local:554/h265Preview_01_main
      - rtsp://bi2:X@reolinkptz2.domain.local:554/h264Preview_01_main
    fg_front_sub:
      - rtsp://bi2:X@reolinkptz2.domain.local:554/h264Preview_01_sub

    fg_front_1:
      - rtsp://localhost:8554/fg_front_1_main
    fg_front_1_main:
      #- rtsp://bi2:X@reolinkptz2.domain.local:554/h265Preview_02_main
      - rtsp://bi2:X@reolinkptz2.domain.local:554/h264Preview_02_main
    fg_front_1_sub:
      - rtsp://bi2:X@reolinkptz2.domain.local:554/h264Preview_02_sub

    fg_garden: rtsp://localhost:8554/fg_garden_main
    fg_garden_main:
      #- rtsp://bi2:X@reolinkptz1.domain.local:554/h265Preview_01_main
      - rtsp://bi2:X@reolinkptz1.domain.local:554/h264Preview_01_main
      - ffmpeg:http://reolinkptz1.domain.local/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=bi2&X=X#video=copy#audio=copy#audio=opus
    fg_garden_sub:
      - rtsp://bi2:X@reolinkptz1.domain.local:554/h264Preview_01_sub

    fp_shed: ffmpeg:http://admin:@dcs-932l.domain.local/video.cgi#video=h264#hardware   # <- use hardware acceleration to create an h264 stream usable for other components.

cameras:
  shed:
    birdseye:
      enabled: true
      order: 12
    mqtt:
      crop: false
      quality: 95
      height: 480
      timestamp: false
    ui:
      order: 12
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/fp_shed
          input_args: preset-rtsp-restream
          roles:
            - detect
        - path: rtsp://127.0.0.1:8554/fp_shed?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
    detect:
      width: 640
      height: 480
      fps: 5
    snapshots:
      enabled: true
      timestamp: true
      bounding_box: true
      crop: false
      quality: 97
      required_zones:
        - shed_zone_0
    record:
      expire_interval: 15
      enabled: true
      retain:
        days: 2
        mode: all
      alerts:
        retain:
          days: 14
        pre_capture: 5
        post_capture: 15
      detections:
        retain:
          days: 14
        pre_capture: 5
        post_capture: 15
    objects:
      track:
        - person
        - face
#        - package
#        - cat
#        - dog
#        - bird
      filters:
        person: {}
    motion:
      threshold: 40
      contour_area: 25
      improve_contrast: true
    zones: {}
    review: {}





  doorbell:
    birdseye:
      enabled: true
      order: 02
    mqtt:
      crop: false
      quality: 95
      height: 640
      timestamp: false
    onvif:
      host: reolinkdoorbell.domain.local
      port: 8000
      user: admin
      X: bs349au
    ui:
      order: 02
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/doorbell_sub
          input_args: preset-rtsp-restream
          roles:
            - detect
        - path: rtsp://127.0.0.1:8554/doorbell_main?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
    #live:
    #  stream_name: doorbell_main
    detect:
      width: 480
      height: 640
      fps: 7
    snapshots:
      enabled: true
      timestamp: true
      bounding_box: true
      crop: false
      quality: 97
      required_zones:
        - doorbell_zone_0
    record:
      expire_interval: 15
      enabled: true
      retain:
        days: 5
        mode: all
      alerts:
        retain:
          days: 14
        pre_capture: 5
        post_capture: 15
      detections:
        retain:
          days: 14
        pre_capture: 5
        post_capture: 15
    objects:
      track:
        - person
        - face
        - package
#        - cat
#        - dog
#        - bird
      filters:
        person: {}
      mask: 0.489,0.518,0.481,0.617,0.907,0.642,0.919,0.516
    motion:
      mask:
        - 0.546,0.946,0.527,1,0.565,1,0.792,1,1,1,1,0.948,0.838,0.948,0.623,0.947
        - 0.504,0.527,0.502,0.611,0.896,0.629,0.903,0.528
      threshold: 40
      contour_area: 25
      improve_contrast: true
    zones:
      doorbell_zone_0:
        coordinates: 
          0,0.792,0,1,0.288,1,0.398,1,0.565,1,0.679,1,1,1,1,0.638,1,0.162,1,0,0.746,0,0.829,0.144,0.912,0.341,0.852,0.358,0.565,0.378,0.52,0.548,0.387,0.528,0.329,0.498,0.119,0.476,0,0.475,0,0.545,0,0.627,0,0.715
        loitering_time: 1
        inertia: 3
    review:
      alerts:
        required_zones: doorbell_zone_0
      detections:
        required_zones: doorbell_zone_0
    #live:
    #  stream_name: doorbell_balanced


  fg_garden:
    birdseye:
      enabled: true
      order: 10
    mqtt:
      crop: false
      quality: 95
      height: 360
      timestamp: false
    onvif:
      host: reolinkptz1.domain.local
      port: 8000
      user: admin
      X: bs324te
    ui:
      order: 10
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/fg_garden_sub
          input_args: preset-rtsp-restream
          roles:
            - detect
        - path: rtsp://127.0.0.1:8554/fg_garden_main?video=copy&audio=aac
      #- path: rtsp://127.0.0.1:8554/fg_garden_main?video=copy
          input_args: preset-rtsp-restream
          roles:
            - record
    detect:
      width: 640
      height: 360
      fps: 5
    snapshots:
      enabled: true
      timestamp: true
      bounding_box: true
      crop: false
      quality: 97
      required_zones:
        - fg_garden_zone_0
    record:
      expire_interval: 15
      enabled: true
      retain:
        days: 5
        mode: all
      alerts:
        retain:
          days: 14
        pre_capture: 5
        post_capture: 15
      detections:
        retain:
          days: 14
        pre_capture: 5
        post_capture: 15
    objects:
      track:
        - person
        - cat
        - dog
        - bird
      filters:
        person: {}
    motion:
      mask:
        - 0,0,0,0.153,0.164,0.132,0.316,0.11,0.419,0.096,0.424,0.216,0.671,0.318,0.768,0.196,1,0.294,0.996,0,0.625,0,0.215,0
        - 0.696,0.935,0.694,0.979,0.992,0.975,0.993,0.927
      threshold: 50
      contour_area: 50
      improve_contrast: true
    zones:
      fg_garden_zone_0:
        coordinates: 
          0,0.157,0,1,0.338,1,0.388,1,0.614,1,0.646,1,1,1,1,0.302,0.77,0.202,0.673,0.325,0.422,0.222,0.412,0.101
        loitering_time: 1
        inertia: 3
    review:
      alerts:
        required_zones: fg_garden_zone_0
      detections:
        required_zones: fg_garden_zone_0
  fg_front_1:
    birdseye:
      enabled: true
      order: 40
    mqtt:
      crop: false
      quality: 95
      height: 360
      timestamp: false
    onvif:
      host: reolinkptz2.domain.local
      port: 8000
      user: admin
      X: aabs349au
    ui:
      order: 40
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/fg_front_1_sub
          input_args: preset-rtsp-restream
          roles:
            - detect
        - path: rtsp://127.0.0.1:8554/fg_front_1_main?video=copy
          input_args: preset-rtsp-restream
          roles:
            - record
    detect:
      width: 640
      height: 360
      fps: 5
    snapshots:
      enabled: true
      timestamp: true
      bounding_box: true
      crop: false
      quality: 97
    record:
      expire_interval: 15
      enabled: true
      retain:
        days: 3
        mode: all
      alerts:
        retain:
          days: 3
        pre_capture: 10
        post_capture: 15
      detections:
        retain:
          days: 3
        pre_capture: 10
        post_capture: 15
    objects:
      track:
        - person
        - cat
        - dog
        - bird
      filters:
        person: {}
    motion:
      threshold: 40
      contour_area: 10
      improve_contrast: true
      mask:
        - -0.002,0.992,0.003,0.934,0.423,0.919,0.422,0.978
        - 0,0,0,0.687,0.116,0.633,0.308,0.545,0.426,0.497,0.426,0.244,0.427,0.02,0.699,0.021,0.675,0.381,0.744,0.408,0.885,0.469,0.903,0,0.66,0,0.427,0,0.073,0
    zones:
      fg_front1_zone_0:
        coordinates: 
          0.313,0.543,0.224,0.581,0.114,0.634,0,0.687,0,0.929,0.426,0.913,0.425,1,1,1,1,0,0.903,0,0.885,0.469,0.744,0.408,0.675,0.381,0.699,0.021,0.47,0.02,0.427,0.02,0.425,0.253,0.425,0.363,0.426,0.497,0.374,0.516
        loitering_time: 0
        inertia: 3
    review:
      alerts:
        required_zones: fg_front1_zone_0
      detections:
        required_zones: fg_front1_zone_0
#-----------------------------------------------
  fg_front:
    birdseye:
      enabled: true
      order: 05
    mqtt:
      crop: false
      quality: 95
      height: 360
      timestamp: false
    onvif:
      host: reolinkptz2.domain.local
      port: 8000
      user: admin
      X: aabs349au
    ui:
      order: 05
    ffmpeg:
      #output_args:
      #  record: preset-record-generic-audio-aac
      inputs:
        - path: rtsp://127.0.0.1:8554/fg_front_sub
          input_args: preset-rtsp-restream
          roles:
            - detect
        - path: rtsp://127.0.0.1:8554/fg_front_main?video=copy&audio=aac
          input_args: preset-rtsp-restream
          roles:
            - record
    detect:
      width: 640
      height: 360
      fps: 5
    snapshots:
      enabled: true
      timestamp: true
      bounding_box: true
      crop: false
      quality: 97
    record:
      expire_interval: 15
      enabled: true
      retain:
        days: 3
        mode: all
      alerts:
        retain:
          days: 3
        pre_capture: 10
        post_capture: 15
      detections:
        retain:
          days: 3
        pre_capture: 10
        post_capture: 15
    objects:
      track:
        - cat
        - dog
        - person
        - bird
        #- car
      filters:
        person: {}
    motion:
      threshold: 50
      contour_area: 20
      improve_contrast: true
      mask:
        - 0.005,0.917,0.002,0.988,0.423,0.989,0.425,0.914
        - 0,0,0,0.691,0.27,0.584,0.35,0.552,0.457,0.535,0.456,0.453,0.459,0.227,0.551,0.19,0.613,0.168,0.609,0.417,0.732,0.506,0.752,0.152,0.76,0
    zones:
      fg_front_zone_0:
        coordinates: 
          0.76,0,0.767,0,0.798,0,0.82,0,0.834,0,0.853,0,0.887,0,0.97,0,0.967,0.079,0.973,0.459,0.93,0.72,0.904,0.887,0.841,1,0.424,1,0.429,0.911,0.361,0.911,0.279,0.911,0,0.913,0,0.733,0,0.691,0.35,0.552,0.457,0.535,0.456,0.453,0.459,0.243,0.501,0.21,0.551,0.19,0.612,0.168,0.609,0.417,0.732,0.506
        inertia: 2
        loitering_time: 0
    review:
      alerts:
        required_zones: fg_front_zone_0
      detections:
        required_zones: fg_front_zone_0

birdseye:
  enabled: true
  restream: true
  width: 1280
  height: 720
  mode: continuous

logger:
  default: info
  logs:
    #frigate.event: debug
    frigate.event: warning
version: 0.16-0

ui:
  # Optional: Set a timezone to use in the UI (default: use browser local time)
  # timezone: America/Denver
  # Optional: Set the time format used.
  # Options are browser, 12hour, or 24hour (default: shown below)
  time_format: 24hour
  # Optional: Set the date style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 2/11/23
  #    medium: Feb 11, 2023
  #    full: Saturday, February 11, 2023
  # (default: shown below).
  date_style: medium
  # Optional: Set the time style for a specified length.
  # Options are: full, long, medium, short
  # Examples:
  #    short: 8:14 PM
  #    medium: 8:15:22 PM
  #    full: 8:15:22 PM Mountain Standard Time
  # (default: shown below).
  time_style: medium
  # Optional: Ability to manually override the date / time styling to use strftime format
  # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
  # possible values are shown above (default: not set)
  strftime_fmt: '%Y/%m/%d %H:%M'
notifications:
  enabled: 'true'
  email: andy@domain
semantic_search:
  enabled: false
  reindex: false
  model_size: small
detect:
  enabled: true
face_recognition:
  enabled: true
  model_size: small
lpr:
  enabled: false
classification:
  bird:
    enabled: false

docker-compose file or Docker CLI command

services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    #image: ghcr.io/blakeblackshear/frigate:0.16.0-beta2
    image: ghcr.io/blakeblackshear/frigate:0.16.0-beta4
    shm_size: "4096mb" # update for your cameras based on calculation above
    devices:
      - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - /usb//docker/config:/config
      - /usb:/media/frigate
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 2000000000
    ports:
      - "5000:5000"
      - "8080:8080"
      - "8554:8554" # RTSP feeds
      - "8555:8555/tcp" # WebRTC over tcp
      - "8555:8555/udp" # WebRTC over udp
    environment:
      FRIGATE_RTSP_PASSWORD: "X"

Relevant Frigate log output

2025-07-16 08:02:05.672213276  [INFO] Starting certsync...
s6-rc: info: service legacy-services successfully started
2025-07-16 08:02:06.336576882  127.0.0.1 - - [16/Jul/2025:08:02:06 +0100] "" 400 0 "-" "-" "-"
2025-07-16 08:02:06.398006491  /usr/local/lib/python3.11/dist-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
2025-07-16 08:02:06.398012954    setattr(self, word, getattr(machar, word).flat[0])
2025-07-16 08:02:06.398079251  /usr/local/lib/python3.11/dist-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
2025-07-16 08:02:06.398081121    return self._float_to_str(self.smallest_subnormal)
2025-07-16 08:02:06.398136084  /usr/local/lib/python3.11/dist-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
2025-07-16 08:02:06.398137658    setattr(self, word, getattr(machar, word).flat[0])
2025-07-16 08:02:06.398156362  /usr/local/lib/python3.11/dist-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
2025-07-16 08:02:06.398157603    return self._float_to_str(self.smallest_subnormal)
2025-07-16 08:02:06.931122417  Traceback (most recent call last):
2025-07-16 08:02:06.931128472    File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1764, in _get_module
2025-07-16 08:02:06.931603066      return importlib.import_module("." + module_name, self.__name__)
2025-07-16 08:02:06.931710881             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-07-16 08:02:06.931717270    File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module
2025-07-16 08:02:06.931826659      return _bootstrap._gcd_import(name[level:], package, level)
2025-07-16 08:02:06.931911974             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-07-16 08:02:06.931917937    File "<frozen importlib._bootstrap>", line 1206, in _gcd_import
2025-07-16 08:02:06.931919104    File "<frozen importlib._bootstrap>", line 1178, in _find_and_load
2025-07-16 08:02:06.931923215    File "<frozen importlib._bootstrap>", line 1128, in _find_and_load_unlocked
2025-07-16 08:02:06.931924400    File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
2025-07-16 08:02:06.931928548    File "<frozen importlib._bootstrap>", line 1206, in _gcd_import
2025-07-16 08:02:06.931929659    File "<frozen importlib._bootstrap>", line 1178, in _find_and_load
2025-07-16 08:02:06.931930826    File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked
2025-07-16 08:02:06.931934956    File "<frozen importlib._bootstrap>", line 690, in _load_unlocked
2025-07-16 08:02:06.931936085    File "<frozen importlib._bootstrap_external>", line 940, in exec_module
2025-07-16 08:02:06.931937252    File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
2025-07-16 08:02:06.931941382    File "/usr/local/lib/python3.11/dist-packages/transformers/models/__init__.py", line 15, in <module>
2025-07-16 08:02:06.932056752      from . import (
2025-07-16 08:02:06.932063011    File "/usr/local/lib/python3.11/dist-packages/transformers/models/mt5/__init__.py", line 36, in <module>
2025-07-16 08:02:06.932132178      from ..t5.tokenization_t5_fast import T5TokenizerFast
2025-07-16 08:02:06.932199901    File "/usr/local/lib/python3.11/dist-packages/transformers/models/t5/tokenization_t5_fast.py", line 23, in <module>
2025-07-16 08:02:06.932280845      from ...tokenization_utils_fast import PreTrainedTokenizerFast
2025-07-16 08:02:06.933157995    File "/usr/local/lib/python3.11/dist-packages/transformers/tokenization_utils_fast.py", line 32, in <module>
2025-07-16 08:02:06.933162514      from .convert_slow_tokenizer import convert_slow_tokenizer
2025-07-16 08:02:06.933163773  ModuleNotFoundError: No module named 'transformers.convert_slow_tokenizer'
2025-07-16 08:02:06.933165940
2025-07-16 08:02:06.933167069  The above exception was the direct cause of the following exception:
2025-07-16 08:02:06.933170069
2025-07-16 08:02:06.933170940  Traceback (most recent call last):
2025-07-16 08:02:06.933172051    File "<frozen runpy>", line 198, in _run_module_as_main
2025-07-16 08:02:06.933173884    File "<frozen runpy>", line 88, in _run_code
2025-07-16 08:02:06.933174958    File "/opt/frigate/frigate/__main__.py", line 11, in <module>
2025-07-16 08:02:06.933175903      from frigate.app import FrigateApp
2025-07-16 08:02:06.933176921    File "/opt/frigate/frigate/app.py", line 19, in <module>
2025-07-16 08:02:06.933178977      from frigate.api.fastapi_app import create_fastapi_app
2025-07-16 08:02:06.933180106    File "/opt/frigate/frigate/api/fastapi_app.py", line 14, in <module>
2025-07-16 08:02:06.933181588      from frigate.api import (
2025-07-16 08:02:06.933182754    File "/opt/frigate/frigate/api/classification.py", line 21, in <module>
2025-07-16 08:02:06.933183792      from frigate.embeddings import EmbeddingsContext
2025-07-16 08:02:06.933184958    File "/opt/frigate/frigate/embeddings/__init__.py", line 26, in <module>
2025-07-16 08:02:06.933185940      from .maintainer import EmbeddingMaintainer
2025-07-16 08:02:06.933187106    File "/opt/frigate/frigate/embeddings/maintainer.py", line 62, in <module>
2025-07-16 08:02:06.933187977      from .embeddings import Embeddings
2025-07-16 08:02:06.933211810    File "/opt/frigate/frigate/embeddings/embeddings.py", line 29, in <module>
2025-07-16 08:02:06.933213106      from .onnx.jina_v1_embedding import JinaV1ImageEmbedding, JinaV1TextEmbedding
2025-07-16 08:02:06.933214347    File "/opt/frigate/frigate/embeddings/onnx/jina_v1_embedding.py", line 10, in <module>
2025-07-16 08:02:06.933215477      from transformers import AutoFeatureExtractor, AutoTokenizer
2025-07-16 08:02:06.933232125    File "<frozen importlib._bootstrap>", line 1231, in _handle_fromlist
2025-07-16 08:02:06.933233810    File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1754, in __getattr__
2025-07-16 08:02:06.933496144      module = self._get_module(self._class_to_module[name])
2025-07-16 08:02:06.933601181               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-07-16 08:02:06.933607478    File "/usr/local/lib/python3.11/dist-packages/transformers/utils/import_utils.py", line 1766, in _get_module
2025-07-16 08:02:06.933927571      raise RuntimeError(
2025-07-16 08:02:06.933935460  RuntimeError: Failed to import transformers.models.auto because of the following error (look up to see its traceback):
2025-07-16 08:02:06.933936515  No module named 'transformers.convert_slow_tokenizer'
2025-07-16 08:02:07.437612583  [INFO] Service Frigate exited with code 1 (by signal 0)
s6-rc: info: service legacy-services: stopping
s6-rc: info: service legacy-services successfully stopped
s6-rc: info: service go2rtc-healthcheck: stopping
s6-rc: info: service certsync: stopping
2025-07-16 08:02:07.445778045  [INFO] The go2rtc-healthcheck service exited with code 256 (by signal 15)
s6-rc: info: service go2rtc-healthcheck successfully stopped
2025-07-16 08:02:07.446543972  [INFO] Service CERTSYNC exited with code 256 (by signal 15)
s6-rc: info: service certsync successfully stopped
s6-rc: info: service nginx: stopping
s6-rc: info: service certsync-log: stopping
s6-rc: info: service certsync-log successfully stopped
2025-07-16 08:02:07.517156064  [INFO] Service NGINX exited with code 0 (by signal 0)
s6-rc: info: service nginx successfully stopped
s6-rc: info: service nginx-log: stopping
s6-rc: info: service frigate: stopping
s6-rc: info: service frigate successfully stopped
s6-rc: info: service go2rtc: stopping
s6-rc: info: service frigate-log: stopping
s6-rc: info: service nginx-log successfully stopped
2025-07-16 08:02:07.520259792  exit with signal: terminated
s6-rc: info: service frigate-log successfully stopped
2025-07-16 08:02:07.523441262  [INFO] The go2rtc service exited with code 0 (by signal 0)
s6-rc: info: service go2rtc successfully stopped
s6-rc: info: service prepare: stopping
s6-rc: info: service go2rtc-log: stopping

Relevant go2rtc log output

Operating system

Debian

Install method

Docker Compose

Network connection

Wired

Camera make and model

reolink

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

hawkeye217 · 2025-07-16T09:22:56Z

hawkeye217
Jul 16, 2025
Collaborator

What hardware are you running? How do you have Frigate installed?

1 reply

redlegoman Jul 16, 2025
Author

Raspberry Pi5. I did include my docker compose, so I have it installed using Docker.

redlegoman · 2025-07-16T09:32:35Z

redlegoman
Jul 16, 2025
Author

Seems to me the 'transformers.convert_slow_tokenizer' python module maybe missing from the container image.

1 reply

hawkeye217 Jul 16, 2025
Collaborator

This is quite odd. We've had no other reports of this. Frigate installs the transformers package (located in /usr/local/lib/python3.11/dist-packages/transformers in the container), which also imports the convert_slow_tokenizer function (in the same directory):

https://github.com/blakeblackshear/frigate/blob/3eb3797bc58ef37e3250c144b49b9ed468f502c3/docker/main/requirements-wheels.txt#L45C1-L45C23

I can confirm that my installation of 0.16.0 beta 4 using the standard Docker Frigate image has this installed.

redlegoman · 2025-07-16T11:25:23Z

redlegoman
Jul 16, 2025
Author

ok, I decided to remove the images and pull it again. When I tried to rmi the image I got
structure needs cleaning.
So I had to do a purge of all images and reboot the Pi. After this I re-pulled the beta4 image and now it's working.
Sorry about that, but the error only manifested itself in the container itself, which is weird.

1 reply

hawkeye217 Jul 16, 2025
Collaborator

Glad it's working for you now.

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[Bug]: No module named 'transformers.convert_slow_tokenizer' (0.16.0-beta4) #19162

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[Bug]: No module named 'transformers.convert_slow_tokenizer' (0.16.0-beta4) #19162

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redlegoman Jul 16, 2025

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Relevant go2rtc log output

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Network connection

Camera make and model

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

Replies: 3 comments · 3 replies

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