# InLegalBERT-cbp-lkg-finetuned

[InLegalBERT](https://huggingface.co/law-ai/InLegalBERT) fine-tuned over the corpus used in [Dhani et al., 2022](https://arxiv.org/abs/2107.04771) using the standard MLM objective.


{"language": ["en"], "license": "mit", "tags": ["legal"], "pipeline_tag": "fill-mask"}
transformers pytorch bert fill-mask legal en arxiv:2107.04771 license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #fill-mask #legal #en #arxiv-2107.04771 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

# InLegalBERT-cbp-lkg-finetuned

InLegalBERT fine-tuned over the corpus used in Dhani et al., 2022 using the standard MLM objective.


# InLegalBERT-cbp-lkg-finetuned

InLegalBERT fine-tuned over the corpus used in Dhani et al., 2022 using the standard MLM objective.
TAGS
#transformers #pytorch #bert #fill-mask #legal #en #arxiv-2107.04771 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # InLegalBERT-cbp-lkg-finetuned

InLegalBERT fine-tuned over the corpus used in Dhani et al., 2022 using the standard MLM objective.
TAGS
#transformers #pytorch #bert #fill-mask #legal #en #arxiv-2107.04771 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# InLegalBERT-cbp-lkg-finetuned

InLegalBERT fine-tuned over the corpus used in Dhani et al., 2022 using the standard MLM objective.