Added model variations section (#9)
Browse files- Added model variations section (9621ebeac55faf1425cc8b86ee330649f7680538)
Co-authored-by: Marco Buiani <buio@users.noreply.huggingface.co>
README.md
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useful for downstream tasks: if you have a dataset of labeled sentences for instance, you can train a standard
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classifier using the features produced by the BERT model as inputs.
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## Intended uses & limitations
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You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to
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useful for downstream tasks: if you have a dataset of labeled sentences for instance, you can train a standard
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classifier using the features produced by the BERT model as inputs.
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## Model variations
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BERT has originally been released in base and large variations, for cased and uncased input text. The uncased models also strips out an accent markers.
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Chinese and multilingual uncased and cased versions followed shortly after.
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Modified preprocessing with whole word masking has replaced subpiece masking in a following work, with the release of two models.
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Other 24 smaller models are released aftwrwards.
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The detailed release history can be found on the [google-research/bert readme](https://github.com/google-research/bert/blob/master/README.md) on github.
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| Model | #params | Language |
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|------------------------|--------------------------------|-------|
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| [`bert-base-uncased`](https://huggingface.co/bert-base-uncased) | 110M | English |
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| [`bert-large-uncased`](https://huggingface.co/bert-large-uncased) | 340M | English | sub
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| [`bert-base-cased`](https://huggingface.co/bert-base-cased) | 110M | English |
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| [`bert-large-cased`](https://huggingface.co/bert-large-cased) | 340M | English |
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| [`bert-base-chinese`](https://huggingface.co/bert-base-chinese) | 110M | Chinese |
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| [`bert-base-multilingual-cased`](https://huggingface.co/bert-base-multilingual-cased) | 110M | Multiple |
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| [`bert-large-uncased-whole-word-masking`](https://huggingface.co/bert-large-uncased-whole-word-masking) | 340M | English |
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| [`bert-large-cased-whole-word-masking`](https://huggingface.co/bert-large-cased-whole-word-masking) | 340M | English |
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## Intended uses & limitations
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You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to
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