Exceptions for package
transformers
github stars 50617

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views 642
Indexing with integers is not available when using Python based feature extractors / transformers
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The :obj:`bbox`coordinate values should be within 0-1000 range. / transformers
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The `data_collator` should be a simple callable (function, class with `__call__`). / transformers
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Unable to convert output to JAX tensors format, JAX is not installed. / transformers
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want_ver is None / transformers
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`num_beams` has to be an integer strictly superior to 0 (≥ 1), but is (num_beams) / transformers
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At least one of TensorFlow 2.0 or PyTorch should be installed. To install TensorFlow 2.0, read the instructions at https://www.tensorflow.org/install/ To install PyTorch, read the instructions at https://pytorch.org/. / transformers
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views 944
Impossible to guess which tokenizer to use. Please provide a PreTrainedTokenizer class or a path/identifier to a pretrained tokenizer. / transformers
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words() is not available when using Python-based tokenizers / transformers
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Distant resource does not have an ETag, we won't be able to reliably ensure reproducibility. / transformers
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views 296
(item) argument needs to be of type (SquadExample, dict) / transformers
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`num_beams` should be divisible by `num_beam_groups` for group beam search. / transformers
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