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I added an example for using sentence-transformer models on tinygrad. The example only support bert-based sentence-transformer models like all-MiniLM-L6-v2 and all-MiniLM-L12-v2.
At my job, we use sentence-transformer models (through PyTorch) all the time. I thought it would be nice to do the inference on tinygrad as well. It's my first contributing to tinygrad. Any feedback would be appreciated!