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AutoTinyBERT-S2
huawei-noah/AutoTinyBERT-S2
AutoTinyBERT-S2 is a machine learning model from huawei-noah. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
Pre-trained language models (PLMs) have achieved great success in natural language processing. Most of PLMs follow the default setting of architecture hyper-parameters (e.g., the hidden dimension is a quarter of the i…
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At a glance
- Library
- transformers
- License
- other
- Access
- Public
- Created
- May 16, 2022
- Updated
- May 16, 2022
- SHA
- c842a7d0
Model card
From the Hugging Face model README
Pre-trained language models (PLMs) have achieved great success in natural language processing. Most of PLMs follow the default setting of architecture hyper-parameters (e.g., the hidden dimension is a quarter of the intermediate dimension in feed-forward sub-networks) in BERT. In this paper, we adopt the one-shot Neural Architecture Search (NAS) to automatically search architecture hyper-parameters for efficient pre-trained language models (at least 6x faster than BERT-base).
AutoTinyBERT provides a model zoo that can meet different latency requirements.
- Library
- transformers
- License
- other
- Created
- May 16, 2022
- Updated
- May 16, 2022