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README.md
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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# {
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have
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```
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pip install
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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
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- setfit classification
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---
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# {setfit classification model}
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this is a setfit classifier which can be used for conversion or other , binary classification
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have SetFit installed,
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```
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pip install setfit
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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 setfit import SetFitModel, SetFitTrainer
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model = SetFitModel.from_pretrained("nayan06/binary-classifier-conversion-intent-1.0")
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preds = model(["view details"])
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```
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