readme: ---
  pipeline_tag: sentence-similarity
  language: english
  tags:
  - sentence-transformers
  - sentence-similarity
  - transformers
  ---
  # recobo/agri-sentence-transformer
  
  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
  This model was built using [recobo/agriculture-bert-uncased](https://huggingface.co/recobo/agriculture-bert-uncased), which is a BERT model trained on 6.5 million passages from the agricultural domain. Hence, this model is expected to perform well on sentence similarity tasks specifically for agricultural text data.
  ## Usage (Sentence-Transformers)
  Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
  ```
  pip install -U sentence-transformers
  ```
  Then you can use the model like this:
  ```python
  from sentence_transformers import SentenceTransformer
  sentences = ["A man is eating food.", "A man is eating a piece of bread"]
  
  model = SentenceTransformer('recobo/agri-sentence-transformer')
  embeddings = model.encode(sentences)
  print(embeddings)
  