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bert-for-patents

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metadata
language:
  - en
tags:
  - masked-lm
  - pytorch
pipeline-tag: fill-mask
mask-token: '[MASK]'
widget:
  - text: >-
      The present [MASK] provides a torque sensor that is small and highly rigid
      and for which high production efficiency is possible.
  - text: >-
      The present invention relates to [MASK] accessories and pertains
      particularly to a brake light unit for bicycles.
  - text: >-
      The present invention discloses a space-bound-free [MASK] and its
      coordinate determining circuit for determining a coordinate of a stylus
      pen.
  - text: >-
      The illuminated [MASK] includes a substantially translucent canopy
      supported by a plurality of ribs pivotally swingable towards and away from
      a shaft.
license: apache-2.0
metrics:
  - perplexity

BERT for Patents

BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERTLARGE.

If you want to learn more about the model, check out the blog post, white paper and GitHub page containing the original TensorFlow checkpoint.

Projects using this model (or variants of it):