runtime error

ved. This container image and its contents are governed by the NVIDIA Deep Learning Container License. By pulling and using the container, you accept the terms and conditions of this license: https://developer.nvidia.com/ngc/nvidia-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 (…)_schema%400.3.9.json: 0%| | 0.00/12.7k [00:00<?, ?B/s] Downloading (…)_schema%400.3.9.json: 100%|██████████| 12.7k/12.7k [00:00<00:00, 2.75MB/s] 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 22, in user_validation raise ValueError("Please login with a write token.") ValueError: Please login with a write token. 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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