transformers - 💡(How to fix) Fix transformers in Python 3.14 failed to load [3 comments, 3 participants]

Fix Plan

The fix involves ensuring the correct backend is used for the transformers library.

• Step 1: Install the required backend
  • The error indicates that the tf backend is required, but you're using torch. You can try installing tensorflow to see if it resolves the issue:

pip install tensorflow

    *   Alternatively, you can try to force the use of the `torch` backend by setting the `TF_FORCE_GPU_ALLOW_GROWTH` environment variable or by using the `torch` backend explicitly in your code.
*   **Step 2: Specify the backend in your code**
    *   You can specify the backend when loading the model:
    ```python
from transformers import AutoModelForImageTextToText

# Specify the backend
model = AutoModelForImageTextToText.from_pretrained("model_name", torch_dtype="auto", trust_remote_code=True)

*   Make sure to replace `"model_name"` with the actual name of the model you're trying to load.

Verification

To verify that the fix worked, try running your code again after applying the above steps. If you're still encountering issues, ensure that your transformers library is up-to-date:

pip install --upgrade transformers

Extra Tips

• Be aware of the version compatibility between your Python version, transformers library, and the backend you're using.
• If you're using a virtual environment, ensure that the required packages are installed in the correct environment.