protobuf package version

[cipy]

RuntimeError: Failed to import transformers.models.vision_encoder_decoder.modeling_vision_encoder_decoder because of the following error (look up to see its traceback):
Descriptors cannot be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:

1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

[vegaluisjose]

did you install requirements.txt?

These are the versions of transformers and protobuf that requirements.txt installed in a new venv when I run it:

vega@fox mlx-rag % python3 -V
Python 3.11.7

vega@fox mlx-rag % source .venv/bin/activate

(.venv) vega@fox mlx-rag % pip show protobuf
Name: protobuf
Version: 4.25.2
Summary:
Home-page: https://developers.google.com/protocol-buffers/
Author: [email protected]
Author-email: [email protected]
License: 3-Clause BSD License
Location: /Users/vega/z/explore/mlx-rag/.venv/lib/python3.11/site-packages
Requires:
Required-by: mlx-lm, onnx, onnxruntime

(.venv) vega@fox mlx-rag % pip show transformers
Name: transformers
Version: 4.37.0
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: [email protected]
License: Apache 2.0 License
Location: /Users/vega/z/explore/mlx-rag/.venv/lib/python3.11/site-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm
Required-by: mlx-lm, unstructured-inference