chore: import upstream snapshot with attribution
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# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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"""
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GottBERT: a pure German Language Model
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"""
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from fairseq.models import register_model
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from .hub_interface import RobertaHubInterface
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from .model import RobertaModel
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@register_model('gottbert')
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class GottbertModel(RobertaModel):
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@classmethod
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def hub_models(cls):
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return {
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'gottbert-base': 'https://dl.gottbert.de/fairseq/models/gottbert-base.tar.gz',
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}
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@classmethod
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def from_pretrained(cls,
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model_name_or_path,
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checkpoint_file='model.pt',
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data_name_or_path='.',
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bpe='hf_byte_bpe',
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bpe_vocab='vocab.json',
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bpe_merges='merges.txt',
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bpe_add_prefix_space=False,
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**kwargs
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):
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from fairseq import hub_utils
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x = hub_utils.from_pretrained(
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model_name_or_path,
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checkpoint_file,
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data_name_or_path,
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archive_map=cls.hub_models(),
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bpe=bpe,
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load_checkpoint_heads=True,
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bpe_vocab=bpe_vocab,
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bpe_merges=bpe_merges,
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bpe_add_prefix_space=bpe_add_prefix_space,
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**kwargs,
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)
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return RobertaHubInterface(x['args'], x['task'], x['models'][0])
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