runtime error

Exit code: 1. Reason: a-deep-learning-container-license A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience. WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available. Use the NVIDIA Container Toolkit to start this container with GPU support; see https://docs.nvidia.com/datacenter/cloud-native/ . WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.1.0+cu121 with CUDA 1201 (you have 2.1.0) Python 3.9.18 (you have 3.9.18) Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers) Memory-efficient attention, SwiGLU, sparse and more won't be available. Set XFORMERS_MORE_DETAILS=1 for more details Downloading (…)me_schema@0.3.9.json: 0%| | 0.00/12.7k [00:00<?, ?B/s] Downloading (…)me_schema@0.3.9.json: 100%|██████████| 12.7k/12.7k [00:00<00:00, 2.58MB/s] > INFO Authenticating user... Traceback (most recent call last): File "/app/env/bin/autotrain", line 33, in <module> sys.exit(load_entry_point('autotrain-advanced', 'console_scripts', 'autotrain')()) File "/app/src/autotrain/cli/autotrain.py", line 46, in main command.run() File "/app/src/autotrain/cli/run_app.py", line 57, in run from ..apps.main import main File "/app/src/autotrain/apps/main.py", line 10, in <module> llm = llm() File "/app/src/autotrain/apps/llm.py", line 52, in main user_token, valid_can_pay, who_is_training = common.user_validation() File "/app/src/autotrain/apps/common.py", line 24, in user_validation user_token, valid_can_pay, who_is_training = _login_user(user_token) File "/app/src/autotrain/apps/utils.py", line 94, in _login_user username = user_info["name"] KeyError: 'name' IMPORTANT: You are using gradio version 3.41.0, however version 4.44.1 is available, please upgrade. -------- ERROR conda.cli.main_run:execute(47): `conda run /bin/bash -c autotrain app --port 7860` failed. (See above for error)

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