runtime error

2023-08-08 14:37:41.735791: 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`. 2023-08-08 14:37:41.737750: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-08-08 14:37:41.774655: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-08-08 14:37:41.775032: 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. 2023-08-08 14:37:42.661558: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Downloading (…)lve/main/config.json: 0%| | 0.00/1.29k [00:00<?, ?B/s] Downloading (…)lve/main/config.json: 100%|██████████| 1.29k/1.29k [00:00<00:00, 6.34MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 11, in <module> trans = pipeline("automatic-speech-recognition", model = "facebook/wav2vec2-large-xlsr-53-spanish") File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 788, in pipeline framework, model = infer_framework_load_model( File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 278, in infer_framework_load_model raise ValueError(f"Could not load model {model} with any of the following classes: {class_tuple}.") ValueError: Could not load model facebook/wav2vec2-large-xlsr-53-spanish with any of the following classes: (<class 'transformers.models.wav2vec2.modeling_tf_wav2vec2.TFWav2Vec2ForCTC'>,).

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