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Model: osanseviero/clip-st Source: Original Platform
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README.md
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README.md
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---
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tags:
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- sentence-transformers
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- feature-extraction
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---
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# TODO: Name of Model
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TODO: Description
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## Model Description
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TODO: Add relevant content
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(0) Base Transformer Type: DistilBertModel
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(1) Pooling mean
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(2) Dense 768x512
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## Usage (Sentence-Transformers)
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Using this model becomes more convenient when you have [sentence-transformers](https://github.com/UKPLab/sentence-transformers) 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 = ["This is an example sentence"]
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model = SentenceTransformer(TODO)
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## TODO: Training Procedure
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## TODO: Evaluation Results
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## TODO: Citing & Authors
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