julien-c
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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/allenai/scibert_scivocab_uncased/README.md

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+ # SciBERT
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+ This is the pretrained model presented in [SciBERT: A Pretrained Language Model for Scientific Text](https://www.aclweb.org/anthology/D19-1371/), which is a BERT model trained on scientific text.
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+ The training corpus was papers taken from [Semantic Scholar](https://www.semanticscholar.org). Corpus size is 1.14M papers, 3.1B tokens. We use the full text of the papers in training, not just abstracts.
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+ SciBERT has its own wordpiece vocabulary (scivocab) that's built to best match the training corpus. We trained cased and uncased versions.
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+ Available models include:
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+ * `scibert_scivocab_cased`
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+ * `scibert_scivocab_uncased`
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+ The original repo can be found [here](https://github.com/allenai/scibert).
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+ If using these models, please cite the following paper:
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+ ```
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+ @inproceedings{beltagy-etal-2019-scibert,
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+ title = "SciBERT: A Pretrained Language Model for Scientific Text",
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+ author = "Beltagy, Iz and Lo, Kyle and Cohan, Arman",
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+ booktitle = "EMNLP",
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+ year = "2019",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://www.aclweb.org/anthology/D19-1371"
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+ }
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+ ```