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hhsecond
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README.md

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# RedisAI Python Client
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## Installing
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## Installation
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1. Install Redis 5.0 or above
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$ pip install redisai
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```
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[RedisAI example repo](https://github.com/RedisAI/redisai-examples) shows few examples made using redisai-py under `python_client` section. Checkout [mlut](https://github.com/hhsecond/mlut) for convenient functions those might help in converting models (sparkml, sklearn, xgboost to ONNX), serializing models to disk, loading it back to redisai-py etc.
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4. Install serialization-deserialization utility (optional)
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```sh
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$ pip install ml2rt
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```
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[RedisAI example repo](https://github.com/RedisAI/redisai-examples) shows few examples made using redisai-py under `python_client` section. Checkout [ml2rt](https://github.com/hhsecond/ml2rt) for convenient functions those might help in converting models (sparkml, sklearn, xgboost to ONNX), serializing models to disk, loading it back to redisai-py etc.
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For a quick walk through, checkout this example
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```python
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from redisai import Client
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from redisai import Tensor, BlobTensor, DType, Device, Backend
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import mlut
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import ml2rt
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client = Client()
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client.tensorset('x', Tensor(DType.float, [2], [2, 3]))

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