
# BERT for Patents

BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERT<sub>LARGE</sub>.

If you want to learn more about the model, check out the [blog post](https://cloud.google.com/blog/products/ai-machine-learning/how-ai-improves-patent-analysis), [white paper](https://services.google.com/fh/files/blogs/bert_for_patents_white_paper.pdf) and [GitHub page](https://github.com/google/patents-public-data/blob/master/models/BERT%20for%20Patents.md) containing the original TensorFlow checkpoint.

---

### Projects using this model (or variants of it):
- [Patents4IPPC](https://github.com/ec-jrc/Patents4IPPC) (carried out by [Pi School](https://picampus-school.com/) and commissioned by the [Joint Research Centre (JRC)](https://ec.europa.eu/jrc/en) of the European Commission)

{"language": ["en"], "license": "apache-2.0", "tags": ["masked-lm", "pytorch"], "metrics": ["perplexity"], "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."}]}
transformers pytorch tf safetensors fill-mask masked-lm en license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #safetensors #fill-mask #masked-lm #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 


# BERT for Patents

BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERT<sub>LARGE</sub>.

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):
- Patents4IPPC (carried out by Pi School and commissioned by the Joint Research Centre (JRC) of the European Commission)

# BERT for Patents

BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERT<sub>LARGE</sub>.

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):
- Patents4IPPC (carried out by Pi School and commissioned by the Joint Research Centre (JRC) of the European Commission)
TAGS
#transformers #pytorch #tf #safetensors #fill-mask #masked-lm #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # BERT for Patents

BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERT<sub>LARGE</sub>.

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):
- Patents4IPPC (carried out by Pi School and commissioned by the Joint Research Centre (JRC) of the European Commission)
passage: TAGS
#transformers #pytorch #tf #safetensors #fill-mask #masked-lm #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
# BERT for Patents

BERT for Patents is a model trained by Google on 100M+ patents (not just US patents). It is based on BERT<sub>LARGE</sub>.

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):
- Patents4IPPC (carried out by Pi School and commissioned by the Joint Research Centre (JRC) of the European Commission)