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Disable trust_remote_code

#2
by veeravignesh - opened
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veeravignesh

Hey,
Thanks for the awesome model. We would like to take it for a spin without trust_remote_code. I have download both the actual model that am trying (Alibaba-NLP/gte-large-en-v1.5) and modelling files from (Alibaba-NLP/new-impl) to the local. Is there a way to update the config in the gte-large model to avoid trust_remote_code=True as the network is blocking that call inside our company network.

Thanks.

izhx
 Alibaba-NLP org

Hi, you can move the modeling.py and configuration.py into the Alibaba-NLP/gte-large-en-v1.5 folder, and substitute the following lines in config.json

  "auto_map": {
    "AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
    "AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
    "AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
    "AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
    "AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
    "AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
    "AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
  },

with 

  "auto_map": {
    "AutoConfig": "configuration.NewConfig",
    "AutoModel": "modeling.NewModel",
    "AutoModelForMaskedLM": "modeling.NewForMaskedLM",
    "AutoModelForMultipleChoice": "modeling.NewForMultipleChoice",
    "AutoModelForQuestionAnswering": "modeling.NewForQuestionAnswering",
    "AutoModelForSequenceClassification": "modeling.NewForSequenceClassification",
    "AutoModelForTokenClassification": "modeling.NewForTokenClassification"
  },
jiangxuehaokeai
•
edited May 12

Excuse me, I tried the method mentioned above and set 'trust_remote_code' to False, but I still couldn't execute the example code for sentence-transformers successfully. Is there any additional adjustment needed to avoid the ValueError?(I have downloaded the model located at './Alibaba-NLP/gte-large-en-v1.5'.)

Code:

# Requires sentence_transformers>=2.7.0

from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim

sentences = ['That is a happy person', 'That is a very happy person']

model = SentenceTransformer('Alibaba-NLP/gte-large-en-v1.5', trust_remote_code=False)
embeddings = model.encode(sentences)
print(cos_sim(embeddings[0], embeddings[1]))

Error message:

Traceback (most recent call last):
  File "/home/jiangxuehaokeai/test_embedding_model/test.py", line 8, in <module>
    model = SentenceTransformer('Alibaba-NLP/gte-large-en-v1.5', trust_remote_code=False)
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/sentence_transformers/SentenceTransformer.py", line 197, in __init__
    modules = self._load_sbert_model(
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/sentence_transformers/SentenceTransformer.py", line 1296, in _load_sbert_model
    module = Transformer(model_name_or_path, cache_dir=cache_folder, **kwargs)
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/sentence_transformers/models/Transformer.py", line 35, in __init__
    config = AutoConfig.from_pretrained(model_name_or_path, **model_args, cache_dir=cache_dir)
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1114, in from_pretrained
    trust_remote_code = resolve_trust_remote_code(
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 621, in resolve_trust_remote_code
    raise ValueError(
ValueError: Loading Alibaba-NLP/gte-large-en-v1.5 requires you to execute the configuration file in that repo on your local machine. Make sure you have read the code there to avoid malicious use, then set the option `trust_remote_code=True` to remove this error.
izhx
 Alibaba-NLP org

@jiangxuehaokeai you could try passing a local path to SentenceTransformer, eg model = SentenceTransformer('./Alibaba-NLP/gte-large-en-v1.5', trust_remote_code=False).

jiangxuehaokeai

@jiangxuehaokeai you could try passing a local path to SentenceTransformer, eg model = SentenceTransformer('./Alibaba-NLP/gte-large-en-v1.5', trust_remote_code=False).

Thank you for your prompt response, but unfortunately, the same issue still persists. QQ

phizdbc
•
edited May 13

We have the same issue. Please let me know, in case you found a solution @jiangxuehaokeai .
We would be very happy to use the model without the need to connect to huggingface that is as well not possible inside our network.

izhx
 Alibaba-NLP org
•
edited May 14

@jiangxuehaokeai I didn't see you using trust_remote_code=False. After the processing of Alibaba-NLP/new-impl/discussions/2#comment-2, it still requires setting trust_remote_code=True.

I have re-executed these steps and successfully loaded the model.

ping @phizdbc

jiangxuehaokeai

@izhx Thank you for the reminder. After I reverted 'trust_remote_code' back to True, I encountered the following error:

  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 112
0, in from_pretrained
    config_class = get_class_from_dynamic_module(
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 501, in get_class_from_dynamic_module
    return get_class_in_module(class_name, final_module.replace(".py", ""))
  File "/home/jiangxuehaokeai/.local/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 201, in get_class_in_module
    module = importlib.import_module(module_path)
  File "/usr/lib/python3.10/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 992, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 992, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1004, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'transformers_modules.gte-large-en-v1'

Then, following the code in the library, I checked and found that when handling the path for the model's name, the program was cutting off characters after the . This caused the model's name to become transformers_modules.gte-large-en-v1 instead of transformers_modules.gte-large-en-v1.5. Afterwards, I renamed the path for the model's name to ./Alibaba-NLP/gte-large-en-v1-5, allowing me to use the model locally even when disconnected from the internet.
@phizdbc You can check to see if you encounter the same error as I did.

phizdbc
•
edited Jun 6

It seems there is a tranformers package version thing here - my colleague run into the same error and another one followed: 'NewConfig' object has no attribute '_attn_implementation' but upgrading to tranformers>=4.41.0, solved both errors.
Thanks @izhx and @jiangxuehaokeai .

rohtashbeniwal555
This comment has been hidden
rohtashbeniwal555

Hi, you can move the modeling.py and configuration.py into the Alibaba-NLP/gte-large-en-v1.5 folder, and substitute the following lines in config.json

  "auto_map": {
    "AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig",
    "AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel",
    "AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM",
    "AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.NewForMultipleChoice",
    "AutoModelForQuestionAnswering": "Alibaba-NLP/new-impl--modeling.NewForQuestionAnswering",
    "AutoModelForSequenceClassification": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
    "AutoModelForTokenClassification": "Alibaba-NLP/new-impl--modeling.NewForTokenClassification"
  },

with 

  "auto_map": {
    "AutoConfig": "configuration.NewConfig",
    "AutoModel": "modeling.NewModel",
    "AutoModelForMaskedLM": "modeling.NewForMaskedLM",
    "AutoModelForMultipleChoice": "modeling.NewForMultipleChoice",
    "AutoModelForQuestionAnswering": "modeling.NewForQuestionAnswering",
    "AutoModelForSequenceClassification": "modeling.NewForSequenceClassification",
    "AutoModelForTokenClassification": "modeling.NewForTokenClassification"
  },

how where we can get configuration.py and modeling.py , as unable to see in downloaded model file

izhx
 Alibaba-NLP org
•
edited Jul 10

how where we can get configuration.py and modeling.py , as unable to see in downloaded model file

@rohtashbeniwal555 In this repo.
https://huggingface.co./Alibaba-NLP/new-impl/blob/main/modeling.py
https://huggingface.co./Alibaba-NLP/new-impl/blob/main/configuration.py

smityz

I met some problems when I use new-impl
https://huggingface.co./Alibaba-NLP/gte-large-en-v1.5/discussions/17#66a3a719f33ff23e1c003ef1
need help~

Ratar37003
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JJ94

any updates?

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