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Migrate model card from transformers-repo

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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/giganticode/StackOBERTflow-comments-small-v1/README.md

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+ # StackOBERTflow-comments-small
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+
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+ StackOBERTflow is a RoBERTa model trained on StackOverflow comments.
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+ A Byte-level BPE tokenizer with dropout was used (using the `tokenizers` package).
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+
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+ The model is *small*, i.e. has only 6-layers and the maximum sequence length was restricted to 256 tokens.
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+ The model was trained for 6 epochs on several GBs of comments from the StackOverflow corpus.
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+
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+ ## Quick start: masked language modeling prediction
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+
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+ ```python
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+ from transformers import pipeline
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+ from pprint import pprint
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+
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+ COMMENT = "You really should not do it this way, I would use <mask> instead."
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+
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+ fill_mask = pipeline(
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+ "fill-mask",
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+ model="giganticode/StackOBERTflow-comments-small-v1",
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+ tokenizer="giganticode/StackOBERTflow-comments-small-v1"
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+ )
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+
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+ pprint(fill_mask(COMMENT))
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+ # [{'score': 0.019997311756014824,
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+ # 'sequence': '<s> You really should not do it this way, I would use jQuery instead.</s>',
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+ # 'token': 1738},
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+ # {'score': 0.01693696901202202,
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+ # 'sequence': '<s> You really should not do it this way, I would use arrays instead.</s>',
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+ # 'token': 2844},
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+ # {'score': 0.013411642983555794,
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+ # 'sequence': '<s> You really should not do it this way, I would use CSS instead.</s>',
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+ # 'token': 2254},
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+ # {'score': 0.013224546797573566,
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+ # 'sequence': '<s> You really should not do it this way, I would use it instead.</s>',
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+ # 'token': 300},
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+ # {'score': 0.011984303593635559,
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+ # 'sequence': '<s> You really should not do it this way, I would use classes instead.</s>',
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+ # 'token': 1779}]
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+ ```