problem when load model, image_processor, tokenizer using `create_model_and_transforms()`

[MrNquyen]

model, image_processor, tokenizer = create_model_and_transforms(
        clip_vision_encoder_path="ViT-L-14",
        clip_vision_encoder_pretrained="openai",
        lang_encoder_path=model_path,
        tokenizer_path=model_path,
        cross_attn_every_n_layers=4,
        cache_dir="~/.cache",  # Defaults to ~/.cache
        # trust_remote_code=True,
    )

When I running the code sample in README.md, I am suffering with this problem.

Traceback (most recent call last):
File "/home/npl/ViInfographicCaps/code/lmm_models/flamingoGithub/code/fla.py", line 120, in
model, image_processor, tokenizer = load_model_transform()
^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/code/lmm_models/flamingoGithub/code/fla.py", line 20, in load_model_transform
model, image_processor, tokenizer = create_model_and_transforms(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/vir_env/openfla/lib/python3.12/site-packages/open_flamingo/src/factory.py", line 54, in create_model_and_transforms
lang_encoder = AutoModelForCausalLM.from_pretrained(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/vir_env/openfla/lib/python3.12/site-packages/transformers/models/auto/auto_factory.py", line 524, in from_pretrained
config, kwargs = AutoConfig.from_pretrained(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/vir_env/openfla/lib/python3.12/site-packages/transformers/models/auto/configuration_auto.py", line 979, in from_pretrained
trust_remote_code = resolve_trust_remote_code(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/vir_env/openfla/lib/python3.12/site-packages/transformers/dynamic_module_utils.py", line 626, in resolve_trust_remote_code
raise ValueError(
ValueError: The repository for anas-awadalla/mpt-1b-redpajama-200b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/anas-awadalla/mpt-1b-redpajama-200b.
Please pass the argument trust_remote_code=True to allow custom code to be run.

---

When I pass the argument trust_remote_code=True to

lang_encoder = AutoModelForCausalLM.from_pretrained(
      lang_encoder_path, local_files_only=use_local_files, trust_remote_code=True
  )

I found this error

File "/home/npl/ViInfographicCaps/code/lmm_models/flamingoGithub/code/fla.py", line 120, in
model, image_processor, tokenizer = load_model_transform()
^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/code/lmm_models/flamingoGithub/code/fla.py", line 20, in load_model_transform
model, image_processor, tokenizer = create_model_and_transforms(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/vir_env/openfla/lib/python3.12/site-packages/open_flamingo/src/factory.py", line 60, in create_model_and_transforms
decoder_layers_attr_name = _infer_decoder_layers_attr_name(lang_encoder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/npl/ViInfographicCaps/vir_env/openfla/lib/python3.12/site-packages/open_flamingo/src/factory.py", line 97, in _infer_decoder_layers_attr_name
raise ValueError(
ValueError: We require the attribute name for the nn.ModuleList in the decoder storing the transformer block layers. Please supply this string manually.

Is there any possible way to solve this problem.

[jiaxin-ai]

Same issue
To solve:

python3.10
torch==2.0.1
transformers==4.33.0

The point is to meet the transformer version.