readme: ---
  license: mit
  ---
  
  Note: This model may not perfectly replicate the numbers mentioned in the paper (\cite{chopra-ghosh-2021-term}) as unlike the original one it has been trained with lower batches sizes for fewer epochs.
  
  The source code for training will son be made available in https://github.com/sohomghosh/FinSim_Financial_Hypernym_detection
  
  
  ```bibtex
  @inproceedings{chopra-ghosh-2021-term,
      title = "Term Expansion and {F}in{BERT} fine-tuning for Hypernym and Synonym Ranking of Financial Terms",
      author = "Chopra, Ankush  and
        Ghosh, Sohom",
      booktitle = "Proceedings of the Third Workshop on Financial Technology and Natural Language Processing (FinNLP@IJCAI 2021)",
      month = "Aug ",
      year = "2021",
      address = "Online",
      publisher = "-",
      url = "https://aclanthology.org/2021.finnlp-1.8",
      pages = "46--51",
  }
  ```
  
  Use the following code to import this in Transformers:
  ```python
  from transformers import AutoTokenizer, AutoModel
  
  tokenizer = AutoTokenizer.from_pretrained("sohomghosh/LIPI_FinSim3_Hypernym")
  
  model = AutoModel.from_pretrained("sohomghosh/LIPI_FinSim3_Hypernym")
  
  
  #Using SentenceTransformers
  from sentence_transformers import SentenceTransformer
  model_finlipi = SentenceTransformer('sohomghosh/LIPI_FinSim3_Hypernym')
  ```