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--- |
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pipeline_tag: sentence-similarity |
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language: english |
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tags: |
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- sentence-transformers |
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- sentence-similarity |
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- transformers |
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--- |
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# recobo/agri-sentence-transformer |
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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. |
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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. |
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## Usage (Sentence-Transformers) |
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed: |
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``` |
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pip install -U sentence-transformers |
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``` |
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Then you can use the model like this: |
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```python |
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from sentence_transformers import SentenceTransformer |
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sentences = ["A man is eating food.", "A man is eating a piece of bread"] |
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model = SentenceTransformer('recobo/agri-sentence-transformer') |
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embeddings = model.encode(sentences) |
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print(embeddings) |
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