runtime error

Space not ready. Reason: Error

Container logs:

Warning : `load_model` does not return WordVectorModel or SupervisedModel any more, but a `FastText` object which is very similar.

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The `xla_device` argument has been deprecated in v4.4.0 of Transformers. It is ignored and you can safely remove it from your `config.json` file.
The `xla_device` argument has been deprecated in v4.4.0 of Transformers. It is ignored and you can safely remove it from your `config.json` file.

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The `xla_device` argument has been deprecated in v4.4.0 of Transformers. It is ignored and you can safely remove it from your `config.json` file.
The `xla_device` argument has been deprecated in v4.4.0 of Transformers. It is ignored and you can safely remove it from your `config.json` file.
Distant resource does not have an ETag, we won't be able to reliably ensure reproducibility.
Traceback (most recent call last):
  File "/home/user/.local/lib/python3.8/site-packages/transformers/configuration_utils.py", line 568, in get_config_dict
    resolved_config_file = cached_path(
  File "/home/user/.local/lib/python3.8/site-packages/transformers/file_utils.py", line 1776, in cached_path
    output_path = get_from_cache(
  File "/home/user/.local/lib/python3.8/site-packages/transformers/file_utils.py", line 1954, in get_from_cache
    raise OSError(
OSError: Distant resource does not have an ETag, we won't be able to reliably ensure reproducibility.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "app.py", line 297, in <module>
    main()
  File "app.py", line 246, in main
    ner=Predictor(
  File "<attrs generated init __main__.Predictor>", line 5, in __init__
  File "app.py", line 76, in __attrs_post_init__
    object.__setattr__(self, "model", self.load_fn())
  File "app.py", line 247, in <lambda>
    load_fn=lambda: pipeline(
  File "/home/user/.local/lib/python3.8/site-packages/transformers/pipelines/__init__.py", line 535, in pipeline
    config = AutoConfig.from_pretrained(model, revision=revision, _from_pipeline=task, **model_kwargs)
  File "/home/user/.local/lib/python3.8/site-packages/transformers/models/auto/configuration_auto.py", line 582, in from_pretrained
    config_dict, _ = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/home/user/.local/lib/python3.8/site-packages/transformers/configuration_utils.py", line 593, in get_config_dict
    raise EnvironmentError(msg)
OSError: Can't load config for 'asahi417/tner-xlm-roberta-large-uncased-wnut2017'. Make sure that:

- 'asahi417/tner-xlm-roberta-large-uncased-wnut2017' is a correct model identifier listed on 'https://huggingface.co/models'
  (make sure 'asahi417/tner-xlm-roberta-large-uncased-wnut2017' is not a path to a local directory with something else, in that case)

- or 'asahi417/tner-xlm-roberta-large-uncased-wnut2017' is the correct path to a directory containing a config.json file