Faster Whisper will not run offline

[palladium123]

Hello

I tried running faster-whiper offline but I keep getting the following exception:

 Exception has occurred: ConnectionError

HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/guillaumekln/faster-whisper-large-v2/revision/main (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x000002974F20DC30>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))
socket.gaierror: [Errno 11001] getaddrinfo failed

During handling of the above exception, another exception occurred:

urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x000002974F20DC30>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed

During handling of the above exception, another exception occurred:

urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/guillaumekln/faster-whisper-large-v2/revision/main (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x000002974F20DC30>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))

During handling of the above exception, another exception occurred:

  File "D:\python\fasterelivewhisper.py", line 47, in __init__
    self.model = WhisperModel(model)
  File "D:\python\fasterelivewhisper.py", line 160, in <module>
    x = StreamHandler()
requests.exceptions.ConnectionError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/guillaumekln/faster-whisper-large-v2/revision/main (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x000002974F20DC30>: Failed to establish a new connection: [Errno 11001] getaddrinfo `failed'))

I'm assuming its trying to download something from HF but have no idea what these files are. Does not happen if I am connected online.

Some assistance would be appreciated.

Thank you

[guillaumekln]

Hi,

The Whisper models are automatically downloaded from the Hugging Face Hub.

To run the library offline, you should first download a model locally. For example the command below downloads the "tiny" model and saves it in the directory /tmp/tiny:

python3 -c 'import faster_whisper; faster_whisper.download_model("tiny", "/tmp/tiny")'

Then you can load the model from its path on disk:

model = WhisperModel("/path/to/tiny/model")

[palladium123]

Thanks that solves the problem.

[lukeewin]

I use this command:

python3 -c 'import faster_whisper; faster_whisper.download_model("tiny", "/tmp/tiny")'

There will be the following error：

An error occured while synchronizing the model guillaumekln/faster-whisper-tiny from the Hugging Face Hub:
(ProtocolError('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer')), '(Request ID: 84f30144-9f6a-4a1c-b472-69891ab07522)')
Trying to load the model directly from the local cache, if it exists.
Traceback (most recent call last):
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connectionpool.py", line 790, in urlopen
    response = self._make_request(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connectionpool.py", line 496, in _make_request
    conn.request(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connection.py", line 395, in request
    self.endheaders()
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/http/client.py", line 1280, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/http/client.py", line 1040, in _send_output
    self.send(msg)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/http/client.py", line 1001, in send
    self.sock.sendall(data)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/ssl.py", line 1208, in sendall
    return super().sendall(data, flags)
ConnectionResetError: [Errno 104] Connection reset by peer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/requests/adapters.py", line 486, in send
    resp = conn.urlopen(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connectionpool.py", line 844, in urlopen
    retries = retries.increment(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/util/retry.py", line 470, in increment
    raise reraise(type(error), error, _stacktrace)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/util/util.py", line 38, in reraise
    raise value.with_traceback(tb)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connectionpool.py", line 790, in urlopen
    response = self._make_request(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connectionpool.py", line 496, in _make_request
    conn.request(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/urllib3/connection.py", line 395, in request
    self.endheaders()
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/http/client.py", line 1280, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/http/client.py", line 1040, in _send_output
    self.send(msg)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/http/client.py", line 1001, in send
    self.sock.sendall(data)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/ssl.py", line 1208, in sendall
    return super().sendall(data, flags)
urllib3.exceptions.ProtocolError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/faster_whisper/utils.py", line 94, in download_model
    return huggingface_hub.snapshot_download(repo_id, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/_snapshot_download.py", line 186, in snapshot_download
    repo_info = api.repo_info(repo_id=repo_id, repo_type=repo_type, revision=revision, token=token)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 1868, in repo_info
    return method(
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 1677, in model_info
    r = get_session().get(path, headers=headers, timeout=timeout, params=params)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
    return self.request("GET", url, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
    resp = self.send(prep, **send_kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
    r = adapter.send(request, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 63, in send
    return super().send(request, *args, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/requests/adapters.py", line 501, in send
    raise ConnectionError(err, request=request)
requests.exceptions.ConnectionError: (ProtocolError('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer')), '(Request ID: 84f30144-9f6a-4a1c-b472-69891ab07522)')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/faster_whisper/utils.py", line 110, in download_model
    return huggingface_hub.snapshot_download(repo_id, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
    return fn(*args, **kwargs)
  File "/usr/local/src/anaconda3/envs/faster-whisper/lib/python3.9/site-packages/huggingface_hub/_snapshot_download.py", line 169, in snapshot_download
    with open(ref_path) as f:
FileNotFoundError: [Errno 2] No such file or directory: '/root/.cache/huggingface/hub/models--guillaumekln--faster-whisper-tiny/refs/main'

[guillaumekln]

The command should work. Can you try again?

[jblessedup]

Hi,

The Whisper models are automatically downloaded from the Hugging Face Hub.

To run the library offline, you should first download a model locally. For example the command below downloads the "tiny" model and saves it in the directory /tmp/tiny:

python3 -c 'import faster_whisper; faster_whisper.download_model("tiny", "/tmp/tiny")'

Then you can load the model from its path on disk:

model = WhisperModel("/path/to/tiny/model")

Hello guillaumekln, could you reply with the instructions to locally download the Large v-3 model for faster-whisper on Mac terminal?

[alexivaner]

Hi

Hi,

The Whisper models are automatically downloaded from the Hugging Face Hub.

To run the library offline, you should first download a model locally. For example the command below downloads the "tiny" model and saves it in the directory /tmp/tiny:

python3 -c 'import faster_whisper; faster_whisper.download_model("tiny", "/tmp/tiny")'

Then you can load the model from its path on disk:

model = WhisperModel("/path/to/tiny/model")

Hi , I get this error:

huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/home/finetune/WebSocket-Server/asrModule/large-v3/model'. Use `repo_type` argument if needed.
Exception ignored in: <_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'>
BrokenPipeError: [Errno 32] Broken pipe

What I did wrong?

[alexivaner]

Hi,
The Whisper models are automatically downloaded from the Hugging Face Hub.
To run the library offline, you should first download a model locally. For example the command below downloads the "tiny" model and saves it in the directory /tmp/tiny:

python3 -c 'import faster_whisper; faster_whisper.download_model("tiny", "/tmp/tiny")'

Then you can load the model from its path on disk:

model = WhisperModel("/path/to/tiny/model")

Hello guillaumekln, could you reply with the instructions to locally download the Large v-3 model for faster-whisper on Mac terminal?

I believe:

python -c 'import faster_whisper; faster_whisper.download_model("large-v3", "./asrModule/large-v3")'