runtime error

ent already satisfied: certifi>=2017.4.17 in /home/user/.local/lib/python3.10/site-packages (from requests->transformers) (2023.5.7) Installing collected packages: tokenizers, safetensors, regex, transformers Successfully installed regex-2023.6.3 safetensors-0.3.1 tokenizers-0.13.3 transformers-4.30.1 [notice] A new release of pip available: 22.3.1 -> 23.1.2 [notice] To update, run: python -m pip install --upgrade pip transformers library has been installed 2023-06-11 03:11:37.887218: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2023-06-11 03:11:37.889559: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-06-11 03:11:37.937785: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-06-11 03:11:37.938987: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-06-11 03:11:38.719705: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Traceback (most recent call last): File "/home/user/app/app.py", line 27, in <module> generator = pipeline("mask-generation", device=0, points_per_batch=256) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 751, in pipeline model, default_revision = get_default_model_and_revision(targeted_task, framework, task_options) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 398, in get_default_model_and_revision return default_models[framework] KeyError: 'tf'

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