Create README.md

README.md

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+---
+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, 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)