julien-c HF staff commited on
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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/google/mobilebert-uncased/README.md

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+ ---
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+ language: en
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+ thumbnail: https://huggingface.co/front/thumbnails/google.png
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+
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+ license: apache-2.0
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+ ---
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+
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+ ## MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
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+
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+ MobileBERT is a thin version of BERT_LARGE, while equipped with bottleneck structures and a carefully designed balance
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+ between self-attentions and feed-forward networks.
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+
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+ This checkpoint is the original MobileBert Optimized Uncased English:
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+ [uncased_L-24_H-128_B-512_A-4_F-4_OPT](https://storage.googleapis.com/cloud-tpu-checkpoints/mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT.tar.gz)
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+ checkpoint.
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+
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+ ## How to use MobileBERT in `transformers`
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ fill_mask = pipeline(
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+ "fill-mask",
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+ model="google/mobilebert-uncased",
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+ tokenizer="google/mobilebert-uncased"
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+ )
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+
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+ print(
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+ fill_mask(f"HuggingFace is creating a {fill_mask.tokenizer.mask_token} that the community uses to solve NLP tasks.")
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+ )
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+
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+ ```