error runinference api with file corrupted

gistfile1.txt

Traceback (most recent call last):
  File "/venv/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker.py", line 284, in _execute
    response = task()
  File "/venv/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker.py", line 357, in <lambda>
    lambda: self.create_worker().do_instruction(request), request)
  File "/venv/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker.py", line 597, in do_instruction
    return getattr(self, request_type)(
  File "/venv/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker.py", line 628, in process_bundle
    bundle_processor = self.bundle_processor_cache.get(
  File "/venv/lib/python3.8/site-packages/apache_beam/runners/worker/sdk_worker.py", line 458, in get
    processor = bundle_processor.BundleProcessor(
  File "/venv/lib/python3.8/site-packages/apache_beam/runners/worker/bundle_processor.py", line 873, in __init__
    op.setup()
  File "apache_beam/runners/worker/operations.py", line 833, in apache_beam.runners.worker.operations.DoOperation.setup
  File "apache_beam/runners/worker/operations.py", line 882, in apache_beam.runners.worker.operations.DoOperation.setup
  File "apache_beam/runners/common.py", line 1471, in apache_beam.runners.common.DoFnRunner.setup
  File "apache_beam/runners/common.py", line 1467, in apache_beam.runners.common.DoFnRunner._invoke_lifecycle_method
  File "apache_beam/runners/common.py", line 1507, in apache_beam.runners.common.DoFnRunner._reraise_augmented
  File "apache_beam/runners/common.py", line 1465, in apache_beam.runners.common.DoFnRunner._invoke_lifecycle_method
  File "apache_beam/runners/common.py", line 551, in apache_beam.runners.common.DoFnInvoker.invoke_setup
  File "/venv/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 374, in setup
    self._model = self._load_model()
  File "/venv/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 369, in _load_model
    return self._shared_model_handle.acquire(load)
  File "/venv/lib/python3.8/site-packages/apache_beam/utils/shared.py", line 305, in acquire
    return _shared_map.acquire(self._key, constructor_fn, tag)
  File "/venv/lib/python3.8/site-packages/apache_beam/utils/shared.py", line 246, in acquire
    result = control_block.acquire(constructor_fn, tag)
  File "/venv/lib/python3.8/site-packages/apache_beam/utils/shared.py", line 139, in acquire
    result = constructor_fn()
  File "/venv/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 358, in load
    model = self._model_handler.load_model()
  File "/venv/lib/python3.8/site-packages/apache_beam/ml/inference/base.py", line 146, in load_model
    return self._unkeyed.load_model()
  File "/venv/lib/python3.8/site-packages/conjurer/feature_extractor/embedder/clip.py", line 51, in load_model
    model = open_clip.create_model(self.model_name, pretrained=self.pretrained, device=self._device)
  File "/venv/lib/python3.8/site-packages/open_clip/factory.py", line 108, in create_model
    model.load_state_dict(load_state_dict(checkpoint_path))
  File "/venv/lib/python3.8/site-packages/open_clip/factory.py", line 50, in load_state_dict
    checkpoint = torch.load(checkpoint_path, map_location=map_location)
  File "/venv/lib/python3.8/site-packages/torch/serialization.py", line 713, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/venv/lib/python3.8/site-packages/torch/serialization.py", line 938, in _legacy_load
    typed_storage._storage._set_from_file(
RuntimeError: unexpected EOF, expected 1443121 more bytes. The file might be corrupted. [while running 'OpenClipEmbedder(ViT-B-32-quickgelu)/PyTorchRunInference/ParDo(_RunInferenceDoFn)-ptransform-122']