Tokenizers: ability to load from model subfolder (#8586)
* <small>tiny typo</small> * Tokenizers: ability to load from model subfolder * use subfolder for local files as well * Uniformize model shortcut name => model id * from s3 => from huggingface.co Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>
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@@ -87,10 +87,9 @@ class ModelCard:
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Parameters:
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pretrained_model_name_or_path: either:
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- a string with the `shortcut name` of a pre-trained model card to load from cache or download, e.g.:
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``bert-base-uncased``.
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- a string with the `identifier name` of a pre-trained model card that was user-uploaded to our S3,
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e.g.: ``dbmdz/bert-base-german-cased``.
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- a string, the `model id` of a pretrained model card hosted inside a model repo on huggingface.co.
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Valid model ids can be located at the root-level, like ``bert-base-uncased``, or namespaced under a
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user or organization name, like ``dbmdz/bert-base-german-cased``.
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- a path to a `directory` containing a model card file saved using the
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:func:`~transformers.ModelCard.save_pretrained` method, e.g.: ``./my_model_directory/``.
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- a path or url to a saved model card JSON `file`, e.g.: ``./my_model_directory/modelcard.json``.
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@@ -124,7 +123,7 @@ class ModelCard:
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Examples::
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modelcard = ModelCard.from_pretrained('bert-base-uncased') # Download model card from S3 and cache.
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modelcard = ModelCard.from_pretrained('bert-base-uncased') # Download model card from huggingface.co and cache.
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modelcard = ModelCard.from_pretrained('./test/saved_model/') # E.g. model card was saved using `save_pretrained('./test/saved_model/')`
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modelcard = ModelCard.from_pretrained('./test/saved_model/modelcard.json')
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modelcard = ModelCard.from_pretrained('bert-base-uncased', output_attentions=True, foo=False)
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