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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/MoseliMotsoehli/zuBERTa/README.md

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+ ---
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+ language: zu
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+ ---
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+
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+ # zuBERTa
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+ zuBERTa is a RoBERTa style transformer language model trained on zulu text.
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+
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+ ## Intended uses & limitations
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+ The model can be used for getting embeddings to use on a down-stream task such as question answering.
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+
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+ #### How to use
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+
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+ ```python
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+ >>> from transformers import pipeline
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+ >>> from transformers import AutoTokenizer, AutoModelWithLMHead
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+
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+ >>> tokenizer = AutoTokenizer.from_pretrained("MoseliMotsoehli/zuBERTa")
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+ >>> model = AutoModelWithLMHead.from_pretrained("MoseliMotsoehli/zuBERTa")
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+ >>> unmasker = pipeline('fill-mask', model=model, tokenizer=tokenizer)
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+ >>> unmasker("Abafika eNkandla bafika sebeholwa <mask> uMpongo kaZingelwayo.")
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+
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+ [
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+ {
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+ "sequence": "<s>Abafika eNkandla bafika sebeholwa khona uMpongo kaZingelwayo.</s>",
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+ "score": 0.050459690392017365,
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+ "token": 555,
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+ "token_str": "Ġkhona"
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+ },
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+ {
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+ "sequence": "<s>Abafika eNkandla bafika sebeholwa inkosi uMpongo kaZingelwayo.</s>",
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+ "score": 0.03668094798922539,
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+ "token": 2321,
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+ "token_str": "Ġinkosi"
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+ },
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+ {
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+ "sequence": "<s>Abafika eNkandla bafika sebeholwa ubukhosi uMpongo kaZingelwayo.</s>",
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+ "score": 0.028774697333574295,
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+ "token": 5101,
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+ "token_str": "Ġubukhosi"
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+ }
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+ ]
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+ ```
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+
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+ ## Training data
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+
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+ 1. 30k sentences of text, came from the [Leipzig Corpora Collection](https://wortschatz.uni-leipzig.de/en/download) of zulu 2018. These were collected from news articles and creative writtings.
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+ 2. ~7500 articles of human generated translations were scraped from the zulu [wikipedia](https://zu.wikipedia.org/wiki/Special:AllPages).
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+
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+ ### BibTeX entry and citation info
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+
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+ ```bibtex
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+ @inproceedings{author = {Moseli Motsoehli},
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+ title = {Towards transformation of Southern African language models through transformers.},
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+ year={2020}
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+ }
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+ ```