Improve error message when loading models from Hub (#13836)
* Improve error message when loading models from Hub * Adjust error message wording
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@@ -560,7 +560,8 @@ class PretrainedConfig(PushToHubMixin):
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logger.error(err)
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msg = (
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f"Can't load config for '{pretrained_model_name_or_path}'. Make sure that:\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n"
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f" (make sure '{pretrained_model_name_or_path}' is not a path to a local directory with something else, in that case)\n\n"
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f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a {CONFIG_NAME} file\n\n"
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)
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@@ -367,7 +367,8 @@ class FeatureExtractionMixin:
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logger.error(err)
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msg = (
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f"Can't load feature extractor for '{pretrained_model_name_or_path}'. Make sure that:\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n"
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f" (make sure '{pretrained_model_name_or_path}' is not a path to a local directory with something else, in that case)\n\n"
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f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a {FEATURE_EXTRACTOR_NAME} file\n\n"
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)
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raise EnvironmentError(msg)
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@@ -328,7 +328,8 @@ class FlaxPreTrainedModel(PushToHubMixin, FlaxGenerationMixin):
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logger.error(err)
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msg = (
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f"Can't load weights for '{pretrained_model_name_or_path}'. Make sure that:\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n"
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f" (make sure '{pretrained_model_name_or_path}' is not a path to a local directory with something else, in that case)\n\n"
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f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a file named {WEIGHTS_NAME}.\n\n"
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)
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raise EnvironmentError(msg)
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@@ -1403,7 +1403,8 @@ class TFPreTrainedModel(tf.keras.Model, TFModelUtilsMixin, TFGenerationMixin, Pu
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logger.error(err)
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msg = (
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f"Can't load weights for '{pretrained_model_name_or_path}'. Make sure that:\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n"
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f" (make sure '{pretrained_model_name_or_path}' is not a path to a local directory with something else, in that case)\n\n"
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f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a file named one of {TF2_WEIGHTS_NAME}, {WEIGHTS_NAME}.\n\n"
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)
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raise EnvironmentError(msg)
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@@ -1308,7 +1308,8 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
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logger.error(err)
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msg = (
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f"Can't load weights for '{pretrained_model_name_or_path}'. Make sure that:\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n"
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f" (make sure '{pretrained_model_name_or_path}' is not a path to a local directory with something else, in that case)\n\n"
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f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a file named one of {WEIGHTS_NAME}, {TF2_WEIGHTS_NAME}, {TF_WEIGHTS_NAME}\n\n"
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)
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@@ -1722,7 +1722,8 @@ class PreTrainedTokenizerBase(SpecialTokensMixin, PushToHubMixin):
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if all(full_file_name is None for full_file_name in resolved_vocab_files.values()):
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msg = (
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f"Can't load tokenizer for '{pretrained_model_name_or_path}'. Make sure that:\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n\n"
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f"- '{pretrained_model_name_or_path}' is a correct model identifier listed on 'https://huggingface.co/models'\n"
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f" (make sure '{pretrained_model_name_or_path}' is not a path to a local directory with something else, in that case)\n\n"
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f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing relevant tokenizer files\n\n"
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)
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